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← All MacBook Pro 14" models

MacBook Pro 14" M3 Max

The M3 Max MacBook Pro 14" runs local models at 300 to 400 GB/s of memory bandwidth with 36 to 128 GB of unified memory. On Apple Silicon that memory is shared with the GPU, so the whole pool is available for weights: at 128 GB you can hold roughly a 207B dense model at Q4. The Max is where the bus gets wide enough that model size, not bandwidth, becomes the thing you plan around.

Apple no longer sells this configuration new. It stays fully evaluated here because the used market is where most of its local AI value now sits.

By , Founder & Lead Engineer— Updated

Specifications

ChipApple M3 Max
CPU cores14 or 16
GPU cores30 or 40
Unified memory36, 48, 64, 96, or 128 GB
Memory bandwidth300 to 400 GB/s
Neural Engine18 TOPS
Released2023
AvailabilityUsed market

Memory bandwidth is faster than 55% of the Apple Silicon chips shipped in a Mac, against a 1228 GB/s peak.

Its memory ceiling is above 65% of them, against a 512 GB peak.

Pick your configuration

Every option Apple sells with this chip. The model list below recomputes against the one you pick.

GPU cores

Unified memory

Apple couples memory to the core count on this chip, so the options change with the bin above.

What each memory option runs

Unified memory is the ceiling and it is soldered, so this is the decision you cannot revisit.

36 GB unified memory

31 GiB forecast budget for models · 300 GB/s

1,688 of 1,863 models fit by their known memory.

A browser cannot measure a runtime's working memory, so no fit here is confirmed. ToolPiper measures the file on your Mac and confirms it.

Largest model at Q4
Nemotron H 56B Base 8K · 56.32B
Best all-round pick
OvisOCR2 · Q8_0 · ~184 tok/s

48 GB unified memory

42 GiB forecast budget for models · 400 GB/s

1,716 of 1,863 models fit by their known memory.

A browser cannot measure a runtime's working memory, so no fit here is confirmed. ToolPiper measures the file on your Mac and confirms it.

Largest model at Q4
NVIDIA Nemotron Labs 3 Puzzle 75B A9B BF16 · 75.35B
Best all-round pick
OvisOCR2 · Q8_0 · ~246 tok/s

64 GB unified memory

56 GiB forecast budget for models · 400 GB/s

1,734 of 1,863 models fit by their known memory.

A browser cannot measure a runtime's working memory, so no fit here is confirmed. ToolPiper measures the file on your Mac and confirms it.

Largest model at Q4
LLaDA2.1 flash · 102.89B
Best all-round pick
OvisOCR2 · Q8_0 · ~246 tok/s

96 GB unified memory

84 GiB forecast budget for models · 300 GB/s

1,763 of 1,863 models fit by their known memory.

A browser cannot measure a runtime's working memory, so no fit here is confirmed. ToolPiper measures the file on your Mac and confirms it.

Largest model at Q4
Mixtral 8x22B Instruct v0.1 · 140.63B
Best all-round pick
OvisOCR2 · Q8_0 · ~184 tok/s

128 GB unified memory

112 GiB forecast budget for models · 400 GB/s

1,782 of 1,863 models fit by their known memory.

A browser cannot measure a runtime's working memory, so no fit here is confirmed. ToolPiper measures the file on your Mac and confirms it.

Largest model at Q4
Step 3.7 Flash · 201.37B
Best all-round pick
OvisOCR2 · Q8_0 · ~246 tok/s

What a 36 GB M3 Max MacBook Pro 14" can run

Every model in the database against this exact configuration, at 300 GB/s. Ratings and speeds are the same numbers the model pages show.

Showing 1863 of 1863 models

Multimodal · ath-maas · 2026-07-13

Q8_0 Fit unconfirmed
at least 0.8 GiB2% of RAM~184 tok/sEstimated0.85B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · bdrc · 2026-08-17

Q8_0 Fit unconfirmed
at least 0.8 GiB2% of RAM~193 tok/sEstimated0.81B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · cmsmanhattan · 2026-08-02

Q8_0 Fit unconfirmed
at least 1.2 GiB3% of RAM~157 tok/sEstimated1B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · coherelabs · 2026-08-10

Q8_0 Fit unconfirmed
at least 2.4 GiB7% of RAM~63 tok/sEstimated2.48B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · gnlolot · 2026-07-03

Q8_0 Fit unconfirmed
at least 1.2 GiB3% of RAM~145 tok/sEstimated1.08B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · gnlolot · 2026-07-13

Q8_0 Fit unconfirmed
at least 1.2 GiB3% of RAM~145 tok/sEstimated1.08B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Chat · Liquid AI · 2026-08-10

Q8_0 Fit unconfirmed
at least 1.3 GiB3% of RAM~131 tok/sEstimated1.2B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · Liquid AI · 2026-07-28

Q8_0 Fit unconfirmed
at least 2.6 GiB7% of RAM~58 tok/sEstimated2.7B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-08-01

Q8_0 Fit unconfirmed
at least 2.6 GiB7% of RAM~58 tok/sEstimated2.7B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-08-10

Q8_0 Fit unconfirmed
at least 2.6 GiB7% of RAM~60 tok/sEstimated2.6B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Coding · Liquid AI · 2026-07-10

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~443 tok/sEstimated0.35B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · radixark · 2026-07-27

Q8_0 Fit unconfirmed
at least 2.4 GiB7% of RAM~70 tok/sEstimated2.25B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · empero-ai · 2026-08-15

Q8_0 Fit unconfirmed
at least 2.2 GiB6% of RAM~69 tok/sEstimated2.27B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · inclusionai · 2026-08-09

Q8_0 Fit unconfirmed
at least 2.0 GiB5% of RAM~115 tok/sEstimated1.36B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · inclusionai · 2026-07-10

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~142 tok/sEstimated1.11B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · incoai · 2026-08-27

Q8_0 Fit unconfirmed
at least 1.3 GiB4% of RAM~134 tok/sEstimated1.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · internlm · 2026-09-26

Q8_0 Fit unconfirmed
at least 0.8 GiB2% of RAM~184 tok/sEstimated0.85B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · internlm · 2026-09-26

Q8_0 Fit unconfirmed
at least 2.2 GiB6% of RAM~71 tok/sEstimated2.21B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · lightonai · 2026-07-08

Q8_0 Fit unconfirmed
at least 2.2 GiB6% of RAM~71 tok/sEstimated2.21B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · openbmb · 2026-09-06

Q8_0 Fit unconfirmed
at least 2.8 GiB8% of RAM~62 tok/sEstimated2.52B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · openbmb · 2026-08-27

Q8_0 Fit unconfirmed
at least 2.8 GiB8% of RAM~62 tok/sEstimated2.52B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · openbmb · 2026-09-06

Q8_0 Fit unconfirmed
at least 2.0 GiB6% of RAM~79 tok/sEstimated2B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · openbmb · 2026-09-01

Q8_0 Fit unconfirmed
at least 2.8 GiB8% of RAM~62 tok/sEstimated2.52B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · openbmb · 2026-08-27

Q8_0 Fit unconfirmed
at least 2.8 GiB8% of RAM~62 tok/sEstimated2.52B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Embedding · tencent · 2026-08-25

Q8_0 Fit unconfirmed
at least 2.7 GiB7% of RAM~58 tok/sEstimated2.72B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · togethercomputer · 2026-09-25

Q8_0 Fit unconfirmed
at least 0.9 GiB2% of RAM~180 tok/sEstimated0.87B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-06-24

Q8_0 Fit unconfirmed
at least 0.2 GiB1% of RAM~684 tok/sEstimated0.23B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-06-16

Q8_0 Fit unconfirmed
at least 0.2 GiB1% of RAM~684 tok/sEstimated0.23B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Liquid AI · 2026-09-18

Q8_0 Fit unconfirmed
at least 3.0 GiB8% of RAM~52 tok/sEstimated3B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · nvidia · 2026-06-16

Q8_0 Fit unconfirmed
at least 1.9 GiB5% of RAM~120 tok/sEstimated1.31B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · nvidia · 2026-07-15

Q8_0 Fit unconfirmed
at least 3.4 GiB9% of RAM~48 tok/sEstimated3.29B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · Liquid AI · 2026-05-25

Q8_0 Fit unconfirmed
at least 2.5 GiB7% of RAM~61 tok/sEstimated2.57B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-05-26

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~134 tok/sEstimated1.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · nanbeige · 2026-07-21

Q8_0 Fit unconfirmed
at least 4.1 GiB11% of RAM~38 tok/sEstimated4.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · paddlepaddle · 2026-05-27

Q8_0 Fit unconfirmed
at least 0.9 GiB3% of RAM~164 tok/sEstimated0.96B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · tokenrhythm · 2026-09-05

Q8_0 Fit unconfirmed
at least 4.1 GiB11% of RAM~37 tok/sEstimated4.21B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · weiboai · 2026-06-12

Q8_0 Fit unconfirmed
at least 3.3 GiB9% of RAM~51 tok/sEstimated3.09B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · xhtoken · 2026-08-24

Q8_0 Fit unconfirmed
at least 4.0 GiB11% of RAM~38 tok/sEstimated4.11B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · datalab-to · 2026-05-14

Q8_0 Fit unconfirmed
at least 0.7 GiB2% of RAM~229 tok/sEstimated0.69B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · ibm-granite · 2026-08-07

Q8_0 Fit unconfirmed
at least 4.2 GiB12% of RAM~43 tok/sEstimated3.66B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · inclusionai · 2026-05-25

Q8_0 Fit unconfirmed
at least 2.1 GiB6% of RAM~74 tok/sEstimated2.13B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · kyutai · 2026-08-26

Q8_0 Fit unconfirmed
at least 3.7 GiB10% of RAM~42 tok/sEstimated3.75B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Coding · nvidia · 2026-07-08

Q8_0 Fit unconfirmed
at least 3.6 GiB10% of RAM~45 tok/sEstimated3.48B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · openbmb · 2026-05-08

Q8_0 Fit unconfirmed
at least 1.3 GiB4% of RAM~121 tok/sEstimated1.3B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · openbmb · 2026-05-21

Q8_0 Fit unconfirmed
at least 1.2 GiB3% of RAM~145 tok/sEstimated1.08B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · openbmb · 2026-05-21

Q8_0 Fit unconfirmed
at least 1.2 GiB3% of RAM~145 tok/sEstimated1.08B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · openbmb · 2026-05-21

Q8_0 Fit unconfirmed
at least 1.2 GiB3% of RAM~145 tok/sEstimated1.08B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · BAAI · 2026-07-23

Q8_0 Fit unconfirmed
at least 4.4 GiB12% of RAM~35 tok/sEstimated4.54B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · internscience · 2026-07-13

Q8_0 Fit unconfirmed
at least 4.4 GiB12% of RAM~35 tok/sEstimated4.54B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-03-31

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~443 tok/sEstimated0.35B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-03-31

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~443 tok/sEstimated0.35B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Liquid AI · 2026-04-08

Q8_0 Fit unconfirmed
at least 0.4 GiB1% of RAM~350 tok/sEstimated0.45B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · distil-labs · 2026-03-30

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~443 tok/sEstimated0.35B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · empero-ai · 2026-08-15

Q8_0 Fit unconfirmed
at least 4.6 GiB13% of RAM~34 tok/sEstimated4.66B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · internlm · 2026-09-26

Q8_0 Fit unconfirmed
at least 4.4 GiB12% of RAM~35 tok/sEstimated4.54B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · kakaocorp · 2026-07-24

Q8_0 Fit unconfirmed
at least 1.3 GiB4% of RAM~122 tok/sEstimated1.29B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Chat · kakaocorp · 2026-07-24

Q8_0 Fit unconfirmed
at least 1.3 GiB4% of RAM~122 tok/sEstimated1.29B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · lightonai · 2026-07-08

Q8_0 Fit unconfirmed
at least 4.4 GiB12% of RAM~35 tok/sEstimated4.54B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · lightonai · 2026-07-08

Q8_0 Fit unconfirmed
at least 4.4 GiB12% of RAM~35 tok/sEstimated4.54B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Microsoft · 2026-07-17

Q8_0 Fit unconfirmed
at least 4.4 GiB12% of RAM~35 tok/sEstimated4.54B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Microsoft · 2026-07-25

Q8_0 Fit unconfirmed
at least 4.6 GiB13% of RAM~33 tok/sEstimated4.74B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Reasoning · nvidia · 2026-09-08

Q8_0 Fit unconfirmed
at least 5.2 GiB14% of RAM~30 tok/sEstimated5.32B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · openbmb · 2026-04-13

Q8_0 Fit unconfirmed
at least 1.3 GiB4% of RAM~121 tok/sEstimated1.3B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · phanviethoang1512 · 2026-07-13

Q8_0 Fit unconfirmed
at least 4.6 GiB13% of RAM~34 tok/sEstimated4.66B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · superwhisper · 2026-08-12

Q8_0 Fit unconfirmed
at least 1.6 GiB4% of RAM~209 tok/sEstimated0.75B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · togethercomputer · 2026-09-23

Q8_0 Fit unconfirmed
at least 4.6 GiB13% of RAM~34 tok/sEstimated4.66B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · webai-official · 2026-08-03

Q8_0 Fit unconfirmed
at least 3.0 GiB8% of RAM~51 tok/sEstimated3.08B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · zenosai · 2026-07-11

Q8_0 Fit unconfirmed
at least 0.9 GiB2% of RAM~179 tok/sEstimated0.88B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Liquid AI · 2026-08-11

Q8_0 Fit unconfirmed
at least 3.1 GiB8% of RAM~50 tok/sEstimated3.12B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Alibaba · 2026-02-28

Q8_0 Fit unconfirmed
at least 0.9 GiB2% of RAM~180 tok/sEstimated0.87B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Alibaba · 2026-02-28

Q8_0 Fit unconfirmed
at least 0.9 GiB2% of RAM~180 tok/sEstimated0.87B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Alibaba · 2026-02-28

Q8_0 Fit unconfirmed
at least 2.2 GiB6% of RAM~69 tok/sEstimated2.27B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Alibaba · 2026-02-28

Q8_0 Fit unconfirmed
at least 2.2 GiB6% of RAM~69 tok/sEstimated2.27B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · nvidia · 2026-06-08

Q8_0 Fit unconfirmed
at least 1.5 GiB4% of RAM~264 tok/sEstimated0.6B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · togethercomputer · 2026-02-19

Q8_0 Fit unconfirmed
at least 0.9 GiB2% of RAM~183 tok/sEstimated0.86B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · unsloth · 2026-02-28

Q8_0 Fit unconfirmed
at least 2.2 GiB6% of RAM~69 tok/sEstimated2.27B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-01-05

Q8_0 Fit unconfirmed
at least 2.5 GiB7% of RAM~61 tok/sEstimated2.57B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-01-05

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~134 tok/sEstimated1.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Chat · Liquid AI · 2026-01-06

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~134 tok/sEstimated1.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2026-01-20

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~134 tok/sEstimated1.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Liquid AI · 2026-01-05

Q8_0 Fit unconfirmed
at least 1.6 GiB4% of RAM~98 tok/sEstimated1.6B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · paddlepaddle · 2026-01-28

Q8_0 Fit unconfirmed
at least 0.9 GiB3% of RAM~164 tok/sEstimated0.96B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · reliquaryforge · 2026-08-18

Q8_0 Fit unconfirmed
at least 5.1 GiB14% of RAM~39 tok/sEstimated4.02B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · arianraje · 2026-09-10

Q8_0 Fit unconfirmed
at least 4.6 GiB13% of RAM~33 tok/sEstimated4.74B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · dots-studio · 2026-03-19

Q8_0 Fit unconfirmed
at least 3.0 GiB8% of RAM~52 tok/sEstimated3.04B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · dots-studio · 2026-03-19

Q8_0 Fit unconfirmed
at least 3.0 GiB8% of RAM~52 tok/sEstimated3.04B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · ibm-granite · 2026-04-06

Q8_0 Fit unconfirmed
at least 4.0 GiB11% of RAM~46 tok/sEstimated3.4B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · ibm-granite · 2026-04-06

Q8_0 Fit unconfirmed
at least 4.0 GiB11% of RAM~46 tok/sEstimated3.4B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · ibm-granite · 2026-05-01

Q8_0 Fit unconfirmed
at least 4.1 GiB11% of RAM~38 tok/sEstimated4.15B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · ibm-granite · 2026-04-16

Q8_0 Fit unconfirmed
at least 3.9 GiB11% of RAM~39 tok/sEstimated4B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · inclusionai · 2026-02-09

Q8_0 Fit unconfirmed
at least 2.4 GiB7% of RAM~64 tok/sEstimated2.44B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · opendatalab · 2026-05-20

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~136 tok/sEstimated1.16B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · rednote-hilab · 2026-03-19

Q8_0 Fit unconfirmed
at least 3.0 GiB8% of RAM~52 tok/sEstimated3.04B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · tencent · 2026-04-02

Q8_0 Fit unconfirmed
at least 3.7 GiB10% of RAM~42 tok/sEstimated3.79B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Chat · TII · 2026-01-12

Q8_0 Fit unconfirmed
at least 0.1 GiB0% of RAM~1,724 tok/sEstimated0.09B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · togethercomputer · 2026-02-04

Q8_0 Fit unconfirmed
at least 0.9 GiB2% of RAM~183 tok/sEstimated0.86B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · zai-org · 2026-01-30

Q8_0 Fit unconfirmed
at least 1.3 GiB4% of RAM~119 tok/sEstimated1.33B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · cactus-compute · 2026-09-16

Q8_0 Fit unconfirmed
at least 0.1 GiB0% of RAM~1,063 tok/sEstimated0.15B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · huggingfacetb · 2026-03-25

Q8_0 Fit unconfirmed
at least 2.6 GiB7% of RAM~91 tok/sEstimated1.72B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · Liquid AI · 2026-01-04

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~134 tok/sEstimated1.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · taoliveaigc · 2026-08-14

Q8_0 Fit unconfirmed
at least 5.7 GiB16% of RAM~27 tok/sEstimated5.82B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Chat · apple · 2026-03-17

Q8_0 Fit unconfirmed
at least 5.1 GiB14% of RAM~39 tok/sEstimated4.02B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · apple · 2026-03-17

Q8_0 Fit unconfirmed
at least 5.1 GiB14% of RAM~39 tok/sEstimated4.02B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · ibm-granite · 2026-03-03

Q8_0 Fit unconfirmed
at least 3.9 GiB11% of RAM~39 tok/sEstimated4B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Embedding · ibm-granite · 2026-04-20

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~504 tok/sEstimated0.31B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Embedding · ibm-granite · 2026-04-20

Q8_0 Fit unconfirmed
at least 0.1 GiB0% of RAM~1,613 tok/sEstimated0.1B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · ibm-granite · 2026-07-01

Q8_0 Fit unconfirmed
at least 2.1 GiB6% of RAM~73 tok/sEstimated2.14B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · janhq · 2026-03-20

Q8_0 Fit unconfirmed
at least 5.4 GiB15% of RAM~36 tok/sEstimated4.41B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Embedding · jinaai · 2026-04-01

Q8_0 Fit unconfirmed
at least 1.6 GiB4% of RAM~97 tok/sEstimated1.63B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Embedding · jinaai · 2026-03-31

Q8_0 Fit unconfirmed
at least 1.5 GiB4% of RAM~101 tok/sEstimated1.56B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Microsoft · 2026-03-30

Q8_0 Fit unconfirmed
at least 1.5 GiB4% of RAM~264 tok/sEstimated0.6B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · Microsoft · 2026-03-30

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~586 tok/sEstimated0.27B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · nvidia · 2026-03-07

Q8_0 Fit unconfirmed
at least 3.9 GiB11% of RAM~40 tok/sEstimated3.97B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · nvidia · 2026-06-30

Q8_0 Fit unconfirmed
at least 0.9 GiB2% of RAM~174 tok/sEstimated0.9B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · nvidia · 2026-03-06

Q8_0 Fit unconfirmed
at least 4.2 GiB12% of RAM~37 tok/sEstimated4.3B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · nvidia · 2026-03-02

Q8_0 Fit unconfirmed
at least 3.7 GiB10% of RAM~41 tok/sEstimated3.83B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · nvidia · 2026-06-08

Q8_0 Fit unconfirmed
at least 5.1 GiB14% of RAM~39 tok/sEstimated4.02B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · opendatalab · 2026-04-02

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~136 tok/sEstimated1.16B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · raxcore-dev · 2025-11-27

Q8_0 Fit unconfirmed
at least 2.2 GiB6% of RAM~69 tok/sEstimated2.27B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · tencent · 2025-12-31

Q8_0 Fit unconfirmed
at least 1.9 GiB5% of RAM~80 tok/sEstimated1.96B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2025-10-28

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~445 tok/sEstimated0.35B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · paddlepaddle · 2025-10-16

Q8_0 Fit unconfirmed
at least 0.9 GiB3% of RAM~164 tok/sEstimated0.96B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Alibaba · 2025-10-19

Q8_0 Fit unconfirmed
at least 2.1 GiB6% of RAM~74 tok/sEstimated2.13B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Alibaba · 2025-10-19

Q8_0 Fit unconfirmed
at least 2.1 GiB6% of RAM~74 tok/sEstimated2.13B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Alibaba · 2026-02-27

Q8_0 Fit unconfirmed
at least 4.6 GiB13% of RAM~34 tok/sEstimated4.66B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Alibaba · 2026-02-27

Q8_0 Fit unconfirmed
at least 4.6 GiB13% of RAM~34 tok/sEstimated4.66B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · datalab-to · 2026-03-16

Q8_0 Fit unconfirmed
at least 5.2 GiB14% of RAM~30 tok/sEstimated5.3B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Google · 2026-03-02

Q8_0 Fit unconfirmed
at least 5.0 GiB14% of RAM~31 tok/sEstimated5.12B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · Google · 2026-03-02

Q8_0 Fit unconfirmed
at least 5.0 GiB14% of RAM~31 tok/sEstimated5.12B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · inclusionai · 2026-02-12

Q8_0 Fit unconfirmed
at least 4.7 GiB13% of RAM~33 tok/sEstimated4.83B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Embedding · nvidia · 2025-10-16

Q8_0 Fit unconfirmed
at least 1.2 GiB3% of RAM~127 tok/sEstimated1.24B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · openbmb · 2026-01-11

Q8_0 Fit unconfirmed
at least 5.1 GiB14% of RAM~39 tok/sEstimated4.02B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Multimodal · tencent · 2025-11-18

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~140 tok/sEstimated1.12B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · tencent · 2026-03-05

Q8_0 Fit unconfirmed
at least 2.1 GiB6% of RAM~72 tok/sEstimated2.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Reasoning · typhoon-ai · 2025-11-10

Q8_0 Fit unconfirmed
at least 2.1 GiB6% of RAM~74 tok/sEstimated2.13B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Multimodal · unsloth · 2026-03-01

Q8_0 Fit unconfirmed
at least 4.6 GiB13% of RAM~34 tok/sEstimated4.66B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2025-09-22

Q8_0 Fit unconfirmed
at least 2.5 GiB7% of RAM~61 tok/sEstimated2.57B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2025-08-25

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~443 tok/sEstimated0.35B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · openonerec · 2025-12-30

Q8_0 Fit unconfirmed
at least 3.0 GiB8% of RAM~74 tok/sEstimated2.13B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · farbodtavakkoli · 2026-02-11

Q8_0 Fit unconfirmed
at least 0.3 GiB1% of RAM~586 tok/sEstimated0.27B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · ibm-granite · 2025-10-07

Q8_0 Fit unconfirmed
at least 1.0 GiB3% of RAM~157 tok/sEstimated1B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · ibm-granite · 2025-10-07

Q8_0 Fit unconfirmed
at least 1.0 GiB3% of RAM~157 tok/sEstimated1B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · ibm-granite · 2025-10-07

Q8_0 Fit unconfirmed
at least 1.4 GiB4% of RAM~108 tok/sEstimated1.46B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Embedding · jinaai · 2026-01-22

Q8_0 Fit unconfirmed
at least 0.6 GiB2% of RAM~264 tok/sEstimated0.6B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Reasoning · nvidia · 2026-01-14

Q8_0 Fit unconfirmed
at least 5.4 GiB15% of RAM~36 tok/sEstimated4.41B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

Embedding · perplexity-ai · 2026-01-20

Q8_0 Fit unconfirmed
at least 0.6 GiB2% of RAM~264 tok/sEstimated0.6B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

Embedding · perplexity-ai · 2026-01-14

Q8_0 Fit unconfirmed
at least 0.6 GiB2% of RAM~264 tok/sEstimated0.6B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · voyageai · 2026-01-06

Q8_0 Fit unconfirmed
at least 0.7 GiB2% of RAM~454 tok/sEstimated0.35B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the runtime's working memory is not measured.

Run with ToolPiper

General · lgai-exaone · 2025-07-11

Q8_0 Fit unconfirmed
at least 1.3 GiB3% of RAM~123 tok/sEstimated1.28B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

General · Liquid AI · 2025-07-10

Q8_0 Fit unconfirmed
at least 1.1 GiB3% of RAM~134 tok/sEstimated1.17B params
Estimate limits

Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.

Known memory fits; the context cache, the recurrent state and the runtime's working memory are not measured.

Run with ToolPiper

30-core vs 40-core GPU

Apple ties the memory bus to the bin on this chip: 300 GB/s at 30 cores and 400 GB/s at 40. That moves tokens per second. It does not move which models fit, because that is memory, not cores.

ConfigurationMemory bandwidthMemory optionsModels that fit
14-core CPU, 30-core GPU300 GB/s36, 96 GBIdentical
16-core CPU, 40-core GPU400 GB/s48, 64, 128 GBIdentical

On NVIDIA Nemotron Labs 3 Puzzle 75B A9B BF16 the 30-core generates about 6 tok/s and the 40-core about 8 tok/s, a 33% difference. Both hold the model at the same quantization.

Published observations for M3 Max

No compatible observations are published here. Formula estimates remain labelled, and unsupported forecasts remain unavailable.

Benchmark contribution is disclosed before a run, and the leaderboard shows every chip that already has one.

What comes next

Projection dated 2026-09-08

Apple has not announced any of this. The M7 Max and Ultra are the first parts Apple designed after cancelling a generation to reach them, so extrapolating from the M5 under-represents them. These rows assume LPDDR6, whose wider channels grow every bus by half, at its top speed bin by the time the Max and Ultra ship. The 1.5 TB Ultra ceiling is Bloomberg's reported design target, and whether that configuration ships depends on the memory market. Stacked memory or a new package fabric would land above these numbers; nobody outside Apple can price that yet.

M7 MaxProjected

Projected chip · expected 2027

1382 GB/s · 48 to 384 GB unified memory

20-core CPU · 56 or 64-core GPU · 76 TOPS Neural Engine

Would hold about a 624B model at Q4

Why unified memory is the number that matters

On a PC the model has to fit in GPU VRAM, which is a separate pool from system RAM and usually the smaller of the two. Apple Silicon has one pool. The M3 Max's 400 GB/s bus is shared by CPU, GPU, and Neural Engine, so a 128 GB machine can hand almost all of that to a model with no copy across a bus.

Apple stopped selling this one, which is exactly why it is interesting. The 14-inch chassis cools well enough to hold its clocks through a long generation run, and it is the smallest machine Apple puts a Max chip in. A used M3 Max at 128 GB still gives you 400 GB/s and a hard 207B ceiling, and neither number degrades with age the way a battery does.

Common questions

Can the M3 Max MacBook Pro 14" run a 70B model?

Yes, at 128 GB. A 70B model at Q4_K_M needs about 38 GB including an 8K context, and 128 GB of unified memory leaves about 112 GB for weights once macOS takes its share. At 36 GB it does not fit at any quantization worth running.

How much unified memory should I get with the M3 Max MacBook Pro 14"?

Memory is the only spec that changes what you can run at all. 36 GB holds about a 57B model at Q4; 128 GB holds about 207B. It is soldered, so this is a one-time decision, and it is the upgrade worth paying for before core count.

How fast are local LLMs on the M3 Max?

Token generation is bandwidth-bound, so M3 Max throughput scales with its 400 GB/s memory bus. Divide bandwidth by the size of the weights actually read per token to get the ceiling, then expect roughly half of that in practice. A 7B model at Q4 reads about 4 GB per token pass, so the M3 Max lands in the tens of tokens per second and a 70B model lands in the single digits.

Is the 40-core GPU worth it over the 30-core on the M3 Max?

For throughput, yes: Apple ties bandwidth to the bin here, so the 30-core runs at 300 GB/s and the 40-core at 400 GB/s, about 33% more. For fit, no: both bins hold exactly the same models, because that is set by memory rather than by cores.

Is a used M3 Max MacBook Pro 14" still worth buying for local AI?

For inference, the specs that matter do not age: 400 GB/s and up to 128 GB of unified memory are the same numbers today as they were in 2023. A used M3 Max at the top memory option usually beats a new base-tier machine at the same price on both. Check the battery and the display, not the silicon.

Run these models on your MacBook Pro 14"

ToolPiper downloads, manages, and runs local models on Apple Silicon. Free, and your prompts and files stay on the machine.