---
title: "MacBook Pro 14\" M1 Pro: What AI Models Can It Run? | ModelPiper"
description: "Local AI on the M1 Pro MacBook Pro 14\": 200 GB/s memory bandwidth and 16 to 32 GB of unified memory. See which LLMs fit, at which quantization, and how fast they run."
canonical: "https://modelpiper.com/macbook-pro-14/m1-pro"
---

# MacBook Pro 14" M1 Pro: What AI Models Can It Run? | ModelPiper

> Local AI on the M1 Pro MacBook Pro 14": 200 GB/s memory bandwidth and 16 to 32 GB of unified memory. See which LLMs fit, at which quantization, and how fast they run.

[← All MacBook Pro 14" models](/macbook-pro-14)

# MacBook Pro 14" M1 Pro

The M1 Pro MacBook Pro 14" runs local models at 200 GB/s of memory bandwidth with 16 to 32 GB of unified memory. On Apple Silicon that memory is shared with the GPU, so the whole pool is available for weights: at 32 GB you can hold roughly a 42B dense model at Q4. The Pro roughly doubles the base chip's memory bus. That moves mid-size models from usable to comfortable without moving you into desktop money.

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.

## Specifications

ChipApple M1 Pro

CPU cores8 or 10

GPU cores14 or 16

Unified memory16 or 32 GB

Memory bandwidth200 GB/s

Neural Engine11 TOPS

Released2021

AvailabilityUsed market

Memory bandwidth is faster than 33% of the Apple Silicon chips shipped in a Mac, against a 819 GB/s peak.

Its memory ceiling is above 17% 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

14-core 14-core 16-core

Unified memory

16 GB32 GB

## What each memory option runs

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

[16 GB](#ram-16gb)[32 GB](#ram-32gb)

### 16 GB unified memory

14 GB usable for weights · 200 GB/s

3,128 of 3,641 models fit, and 2,907 of them run with headroom rather than as a squeeze.

Largest model at Q4

[DeepSeek V4 Flash JANGTQ2](/fit/osaurusai-deepseek-v4-flash-jangtq2) · 20.2B

Best all-round pick

[Qwen3.5 0.8B](/fit/qwen-qwen3-5-0-8b) · Q8\_0 · ~120 tok/s

### 32 GB unified memory

28 GB usable for weights · 200 GB/s

3,388 of 3,641 models fit, and 3,127 of them run with headroom rather than as a squeeze.

Largest model at Q4

[Phi 3.5 MoE instruct](/fit/microsoft-phi-3-5-moe-instruct) · 41.87B

Best all-round pick

[Qwen3.5 0.8B](/fit/qwen-qwen3-5-0-8b) · Q8\_0 · ~120 tok/s

## What a 16 GB M1 Pro MacBook Pro 14" can run

Every model in the database against this exact configuration, at 200 GB/s. Ratings and speeds are the same numbers the model pages show.

All Categories

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All Sizes

Best Fit

Showing 3641 of 3641 models

[Qwen3.5 0.8B](/fit/qwen-qwen3-5-0-8b)

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

1.5 GB9% of RAM~120 tok/sEstimated0.87B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 0.8B Base](/fit/qwen-qwen3-5-0-8b-base)

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

1.5 GB9% of RAM~120 tok/sEstimated0.87B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 2B](/fit/qwen-qwen3-5-2b)

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

3.0 GB19% of RAM~46 tok/sEstimated2.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 2B Base](/fit/qwen-qwen3-5-2b-base)

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

3.0 GB19% of RAM~46 tok/sEstimated2.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 1.2B](/fit/liquidai-lfm2-1-2b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 ColBERT 350M](/fit/liquidai-lfm2-colbert-350m)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 1.2B Thinking](/fit/liquidai-lfm2-5-1-2b-thinking)

Reasoning · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 1.2B Base](/fit/liquidai-lfm2-5-1-2b-base)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M](/fit/liquidai-lfm2-350m)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 700M](/fit/liquidai-lfm2-700m)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.3 GB8% of RAM~142 tok/sEstimated0.74B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 1.2B Extract](/fit/liquidai-lfm2-1-2b-extract)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M Extract](/fit/liquidai-lfm2-350m-extract)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M PII Extract JP](/fit/liquidai-lfm2-350m-pii-extract-jp)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 1.2B Tool](/fit/liquidai-lfm2-1-2b-tool)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M ENJP MT](/fit/liquidai-lfm2-350m-enjp-mt)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 1.2B RAG](/fit/liquidai-lfm2-1-2b-rag)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M Math](/fit/liquidai-lfm2-350m-math)

Reasoning · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 h tiny](/fit/ibm-granite-granite-4-0-h-tiny)

General · ibm-granite · 2025-09-16

Q8\_0Excellent

8.2 GB52% of RAMBenchmark needed6.94B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 1.2B Instruct](/fit/liquidai-lfm2-5-1-2b-instruct)

Chat · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 1.2B JP](/fit/liquidai-lfm2-5-1-2b-jp)

Chat · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 2.6B](/fit/liquidai-lfm2-2-6b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

3.4 GB21% of RAM~41 tok/sEstimated2.57B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 Audio 1.5B](/fit/liquidai-lfm2-5-audio-1-5b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 2.6B Transcript](/fit/liquidai-lfm2-2-6b-transcript)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

3.4 GB21% of RAM~41 tok/sEstimated2.57B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 Audio 1.5B](/fit/liquidai-lfm2-audio-1-5b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VAETKI 7B A1B](/fit/nc-ai-consortium-vaetki-7b-a1b)

General · NCAI · 2025-12-29

Q8\_0Excellent

8.6 GB54% of RAMBenchmark needed7.25B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 4B](/fit/qwen-qwen3-5-4b)

Multimodal · Alibaba · 2026-02-27

Q8\_0Excellent

5.7 GB36% of RAM~22 tok/sEstimated4.66B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[SmolLM3 3B](/fit/huggingfacetb-smollm3-3b)

Reasoning · HuggingFace · 2025-07-08

Q8\_0Excellent

3.8 GB24% of RAM~35 tok/sEstimated3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 4B Base](/fit/qwen-qwen3-5-4b-base)

Multimodal · Alibaba · 2026-02-27

Q8\_0Excellent

5.7 GB36% of RAM~22 tok/sEstimated4.66B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 VL 450M](/fit/liquidai-lfm2-vl-450m)

Multimodal · Liquid AI · 2025-11-28

Q8\_0Excellent

1.0 GB6% of RAM~233 tok/sEstimated0.45B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 VL 1.6B](/fit/liquidai-lfm2-5-vl-1-6b)

Multimodal · Liquid AI · 2025-11-28

Q8\_0Excellent

2.3 GB14% of RAM~65 tok/sEstimated1.6B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 8B A1B](/fit/liquidai-lfm2-8b-a1b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

9.8 GB61% of RAMBenchmark needed8.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 VL 1.6B](/fit/liquidai-lfm2-vl-1-6b)

Multimodal · Liquid AI · 2025-11-28

Q8\_0Excellent

2.3 GB14% of RAM~66 tok/sEstimated1.58B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 2.6B Exp](/fit/liquidai-lfm2-2-6b-exp)

Chat · Liquid AI · 2025-11-28

Q8\_0Excellent

3.4 GB21% of RAM~41 tok/sEstimated2.57B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 h micro](/fit/ibm-granite-granite-4-0-h-micro)

General · ibm-granite · 2025-09-16

Q8\_0Excellent

4.1 GB25% of RAM~33 tok/sEstimated3.19B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[EXAONE 4.0 1.2B](/fit/lgai-exaone-exaone-4-0-1-2b)

General · LG AI · 2025-07-15

Q8\_0Excellent

1.8 GB11% of RAM~87 tok/sEstimated1.2B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 VL 3B](/fit/liquidai-lfm2-vl-3b)

Multimodal · Liquid AI · 2025-11-28

Q8\_0Excellent

3.8 GB24% of RAM~35 tok/sEstimated3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Jolia](/fit/raidium-jolia)

General · raidium · 2026-06-15

Q8\_0Excellent

0.5 GB3% of RAM~5,238 tok/sEstimated0.02B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VAETKI VL 7B A1B](/fit/nc-ai-consortium-vaetki-vl-7b-a1b)

Multimodal · NCAI · 2025-12-29

Q8\_0Excellent

9.0 GB56% of RAMBenchmark needed7.58B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[embeddinggemma GTAIDE 300m 2605](/fit/taide-embeddinggemma-gtaide-300m-2605)

Embedding · taide · 2026-06-12

Q8\_0Excellent

0.8 GB5% of RAM~349 tok/sEstimated0.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 0.6B](/fit/qwen-qwen3-0-6b)

General · Alibaba · 2025-04-27

Q8\_0Excellent

1.3 GB8% of RAM~140 tok/sEstimated0.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 1.7B](/fit/qwen-qwen3-1-7b)

General · Alibaba · 2025-04-27

Q8\_0Excellent

2.8 GB17% of RAM~52 tok/sEstimated2.03B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[GLM OCR](/fit/zai-org-glm-ocr)

Multimodal · zai-org

Q8\_0Excellent

2.0 GB12% of RAM~79 tok/sEstimated1.33B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen2.5 1.5B](/fit/qwen-qwen2-5-1-5b)

General · Alibaba

Q8\_0Excellent

2.2 GB14% of RAM~68 tok/sEstimated1.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen2 0.5B](/fit/qwen-qwen2-0-5b)

General · Alibaba

Q8\_0Excellent

1.0 GB7% of RAM~214 tok/sEstimated0.49B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM V 4.6](/fit/openbmb-minicpm-v-4-6)

Multimodal · openbmb

Q8\_0Excellent

2.0 GB12% of RAM~81 tok/sEstimated1.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[DeepSeek R1 Distill Qwen 1.5B](/fit/deepseek-ai-deepseek-r1-distill-qwen-1-5b)

Reasoning · DeepSeek

Q8\_0Excellent

2.5 GB16% of RAM~59 tok/sEstimated1.78B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[surya ocr 2](/fit/datalab-to-surya-ocr-2)

Multimodal · datalab-to

Q8\_0Excellent

1.3 GB8% of RAM~152 tok/sEstimated0.69B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM5 1B](/fit/openbmb-minicpm5-1b)

General · openbmb

Q8\_0Excellent

1.7 GB11% of RAM~97 tok/sEstimated1.08B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Ilama 3.2 1B](/fit/hmellor-ilama-3-2-1b)

General · hmellor

Q8\_0Excellent

1.9 GB12% of RAM~84 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[distil lfm25 shellper](/fit/distil-labs-distil-lfm25-shellper)

General · distil-labs

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OTel LLM 1.2B IT](/fit/farbodtavakkoli-otel-llm-1-2b-it)

General · farbodtavakkoli

Q8\_0Excellent

1.8 GB12% of RAM~87 tok/sEstimated1.21B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 tiny preview](/fit/ibm-granite-granite-4-0-tiny-preview)

General · ibm-granite

Q8\_0Excellent

7.9 GB50% of RAMBenchmark needed6.67B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[reformer crime and punishment](/fit/google-reformer-crime-and-punishment)

General · Google

Q8\_0Excellent

0.5 GB3% of RAM~10,476 tok/sEstimated0.01B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VideoLLaMA3 2B Image HF](/fit/lkhl-videollama3-2b-image-hf)

Multimodal · lkhl

Q8\_0Excellent

2.7 GB17% of RAM~53 tok/sEstimated1.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[ReaderLM v2](/fit/jinaai-readerlm-v2)

General · jinaai

Q8\_0Excellent

2.2 GB14% of RAM~68 tok/sEstimated1.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[typhoon ocr1.5 2b](/fit/typhoon-ai-typhoon-ocr1-5-2b)

Reasoning · typhoon-ai

Q8\_0Excellent

2.9 GB18% of RAM~49 tok/sEstimated2.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gpt oss safeguard 120b](/fit/openai-gpt-oss-safeguard-120b)

General · openai

Q8\_0Excellent

3.1 GB20% of RAMBenchmark needed2.37B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[PaddleOCR VL 1.5](/fit/paddlepaddle-paddleocr-vl-1-5)

General · paddlepaddle

Q8\_0Excellent

1.6 GB10% of RAM~109 tok/sEstimated0.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 350M Base](/fit/liquidai-lfm2-5-350m-base)

General · Liquid AI

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[plamo 2 1b](/fit/pfnet-plamo-2-1b)

General · pfnet

Q8\_0Excellent

1.9 GB12% of RAM~81 tok/sEstimated1.29B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM5 1B SFT](/fit/openbmb-minicpm5-1b-sft)

General · openbmb

Q8\_0Excellent

1.7 GB11% of RAM~97 tok/sEstimated1.08B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[ERNIE 4.5 0.3B PT](/fit/baidu-ernie-4-5-0-3b-pt)

General · baidu

Q8\_0Excellent

0.9 GB6% of RAM~291 tok/sEstimated0.36B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[PARD Llama 3.2 1B](/fit/amd-pard-llama-3-2-1b)

General · amd

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Trinity Nano Preview](/fit/arcee-ai-trinity-nano-preview)

General · arcee-ai

Q8\_0Excellent

7.3 GB46% of RAMBenchmark needed6.12B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Orpo Llama 3.2 1B 15k](/fit/adamlucek-orpo-llama-3-2-1b-15k)

General · adamlucek

Q8\_0Excellent

1.9 GB12% of RAM~84 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llama 3.2 1b code instruct](/fit/shahriarferdoush-llama-3-2-1b-code-instruct)

Coding · shahriarferdoush

Q8\_0Excellent

1.9 GB12% of RAM~84 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Llama 3.2 1B Aegis SFT DPO](/fit/ahczhg-llama-3-2-1b-aegis-sft-dpo)

General · ahczhg

Q8\_0Excellent

1.9 GB12% of RAM~84 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[CyberXP\_Agent\_Llama\_3.2\_1B](/fit/abaryan-cyberxp_agent_llama_3-2_1b)

General · abaryan

Q8\_0Excellent

1.9 GB12% of RAM~84 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Tashkeel 700M](/fit/etherll-tashkeel-700m)

General · etherll

Q8\_0Excellent

1.3 GB8% of RAM~142 tok/sEstimated0.74B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OTel LLM 20B IT](/fit/farbodtavakkoli-otel-llm-20b-it)

General · farbodtavakkoli

Q8\_0Excellent

2.5 GB15% of RAMBenchmark needed1.77B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[FastVLM 0.5B](/fit/kamilamila-fastvlm-0-5b)

General · kamilamila

Q8\_0Excellent

1.2 GB7% of RAM~169 tok/sEstimated0.62B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[transcription cleanup llama3.2 1b](/fit/getonit-transcription-cleanup-llama3-2-1b)

General · getonit

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[PaddleOCR VL](/fit/paddlepaddle-paddleocr-vl)

General · paddlepaddle

Q8\_0Excellent

1.6 GB10% of RAM~109 tok/sEstimated0.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[DeepScaleR 1.5B Preview](/fit/agentica-org-deepscaler-1-5b-preview)

General · agentica-org

Q8\_0Excellent

2.5 GB16% of RAM~59 tok/sEstimated1.78B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[SEX\_ROLEPLAY 3.2 1B](/fit/novaciano-sex_roleplay-3-2-1b)

General · novaciano

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[JiRackTernary\_1b](/fit/kgrabko-jirackternary_1b)

General · kgrabko

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 350M home assistant sft](/fit/ordenwills-lfm2-5-350m-home-assistant-sft)

General · ordenwills

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Recurrent Llama 3.2 train recurrence 32](/fit/smcleish-recurrent-llama-3-2-train-recurrence-32)

General · smcleish

Q8\_0Excellent

2.1 GB13% of RAM~75 tok/sEstimated1.39B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llama3.2\_1b\_2025\_uncensored\_v2](/fit/carsenk-llama3-2_1b_2025_uncensored_v2)

General · carsenk

Q8\_0Excellent

1.9 GB12% of RAM~84 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OpenReasoning Nemotron 1.5B](/fit/nvidia-openreasoning-nemotron-1-5b)

Reasoning · nvidia

Q8\_0Excellent

2.2 GB14% of RAM~68 tok/sEstimated1.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 3.1 1b a400m base](/fit/ibm-granite-granite-3-1-1b-a400m-base)

General · ibm-granite

Q8\_0Excellent

2.0 GB12% of RAMBenchmark needed1.33B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM V 4.6 Thinking](/fit/openbmb-minicpm-v-4-6-thinking)

General · openbmb

Q8\_0Excellent

2.0 GB12% of RAM~81 tok/sEstimated1.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 h 1b](/fit/ibm-granite-granite-4-0-h-1b)

General · ibm-granite

Q8\_0Excellent

2.1 GB13% of RAM~72 tok/sEstimated1.46B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gpt oss 120b lora merged redux](/fit/pyoakum-gpt-oss-120b-lora-merged-redux)

General · pyoakum

Q8\_0Excellent

6.5 GB40% of RAMBenchmark needed5.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 3.1 3b a800m base](/fit/ibm-granite-granite-3-1-3b-a800m-base)

General · ibm-granite

Q8\_0Excellent

4.2 GB26% of RAMBenchmark needed3.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM V 4.6 Abliterated AND Disinhibited](/fit/treadon-minicpm-v-4-6-abliterated-and-disinhibited)

General · treadon

Q8\_0Excellent

2.0 GB12% of RAM~81 tok/sEstimated1.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[ODIN C1](/fit/skis-ai-research-odin-c1)

General · skis-ai-research

Q8\_0Excellent

1.8 GB11% of RAM~90 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Lucy 128k](/fit/menlo-lucy-128k)

General · menlo

Q8\_0Excellent

2.4 GB15% of RAM~61 tok/sEstimated1.72B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llama3.2\_1B\_vl](/fit/thkim0305-llama3-2_1b_vl)

General · thkim0305

Q8\_0Excellent

1.6 GB10% of RAM~105 tok/sEstimated1B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 0.8B Claude 4.6 Opus Reasoning Distilled](/fit/jackrong-qwen3-5-0-8b-claude-4-6-opus-reasoning-distilled)

Reasoning · jackrong

Q8\_0Excellent

1.5 GB9% of RAM~120 tok/sEstimated0.87B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 0.8B Coder Calude Full](/fit/rahul7star-qwen3-5-0-8b-coder-calude-full)

Coding · rahul7star

Q8\_0Excellent

1.5 GB9% of RAM~120 tok/sEstimated0.87B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Falcon H1 1.5B Base](/fit/tiiuae-falcon-h1-1-5b-base)

General · TII

Q8\_0Excellent

2.2 GB14% of RAM~68 tok/sEstimated1.55B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 Coder Next DFlash](/fit/z-lab-qwen3-coder-next-dflash)

Coding · z-lab

Q8\_0Excellent

1.7 GB11% of RAM~97 tok/sEstimated1.08B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Nemotron 3 Nano Omni 30B A3B JANGTQ4](/fit/osaurusai-nemotron-3-nano-omni-30b-a3b-jangtq4)

General · osaurusai

Q8\_0Excellent

6.9 GB43% of RAMBenchmark needed5.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LLAMA 3.2 1B OpenHermes2.5](/fit/artificialguybr-llama-3-2-1b-openhermes2-5)

General · artificialguybr

Q8\_0Excellent

1.9 GB12% of RAM~84 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Dayhoff 170m GR](/fit/microsoft-dayhoff-170m-gr)

General · Microsoft

Q8\_0Excellent

0.7 GB4% of RAMBenchmark needed0.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[evolai qwen2.5 1.5b](/fit/roystar-evolai-qwen2-5-1-5b)

General · roystar

Q8\_0Excellent

2.2 GB14% of RAM~68 tok/sEstimated1.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VibeThinker 1.5B](/fit/weiboai-vibethinker-1-5b)

General · weiboai

Q8\_0Excellent

2.5 GB16% of RAM~59 tok/sEstimated1.78B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Dayhoff 170m UR90](/fit/microsoft-dayhoff-170m-ur90)

General · Microsoft

Q8\_0Excellent

0.7 GB4% of RAMBenchmark needed0.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Falcon H1 1.5B Deep Base](/fit/tiiuae-falcon-h1-1-5b-deep-base)

General · TII

Q8\_0Excellent

2.2 GB14% of RAM~68 tok/sEstimated1.55B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Hunyuan 0.5B Pretrain](/fit/tencent-hunyuan-0-5b-pretrain)

General · tencent

Q8\_0Excellent

1.1 GB7% of RAM~194 tok/sEstimated0.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[GLM 0.5B](/fit/primeintellect-glm-0-5b)

General · primeintellect

Q8\_0Excellent

1.1 GB7% of RAMBenchmark needed0.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[EXAONE Deep 2.4B](/fit/lgai-exaone-exaone-deep-2-4b)

General · lgai-exaone · 2025-03-12

Q8\_0Excellent

3.2 GB20% of RAM~43 tok/sEstimated2.41B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 VL 2B Instruct](/fit/qwen-qwen3-vl-2b-instruct)

Multimodal · Alibaba

Q8\_0Excellent

2.9 GB18% of RAM~49 tok/sEstimated2.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[dots.mocr](/fit/rednote-hilab-dots-mocr)

Multimodal · rednote-hilab

Q8\_0Excellent

3.9 GB24% of RAM~34 tok/sEstimated3.04B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gemma 3n E2B it](/fit/google-gemma-3n-e2b-it)

Multimodal · Google · 2025-06-25

Q8\_0Excellent

5.0 GB31% of RAM~26 tok/sEstimated4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[dots.ocr](/fit/rednote-hilab-dots-ocr)

Multimodal · rednote-hilab

Q8\_0Excellent

3.9 GB24% of RAM~34 tok/sEstimated3.04B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[internlm2\_5 step prover critic](/fit/internlm-internlm2_5-step-prover-critic)

General · internlm

Q8\_0Excellent

2.1 GB13% of RAM~75 tok/sEstimated1.4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 VL 2B Thinking](/fit/qwen-qwen3-vl-2b-thinking)

General · Alibaba

Q8\_0Excellent

2.9 GB18% of RAM~49 tok/sEstimated2.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 4B Kimi2.5 Reasoning Distilled](/fit/khazarai-qwen3-4b-kimi2-5-reasoning-distilled-gguf)

Reasoning · khazarai

Q8\_0Excellent

4.0 GB25% of RAM~33 tok/sEstimated3.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Ouro 1.4B Thinking](/fit/bytedance-ouro-1-4b-thinking)

General · bytedance

Q8\_0Excellent

2.1 GB13% of RAM~73 tok/sEstimated1.43B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 VL 2B RRG SFT](/fit/dmusingu-qwen3-vl-2b-rrg-sft)

General · dmusingu

Q8\_0Excellent

2.9 GB18% of RAM~49 tok/sEstimated2.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 3b code instruct 128k](/fit/ibm-granite-granite-3b-code-instruct-128k)

Coding · ibm-granite

Q8\_0Excellent

4.4 GB27% of RAM~30 tok/sEstimated3.48B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Miss MARTHA hot POCKET edition 2B OMNI](/fit/zero-point-ai-miss-martha-hot-pocket-edition-2b-omni)

General · zero-point-ai

Q8\_0Excellent

3.0 GB19% of RAM~46 tok/sEstimated2.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 ASR 0.6B](/fit/bezzam-qwen3-asr-0-6b)

General · bezzam

Q8\_0Excellent

1.4 GB9% of RAM~134 tok/sEstimated0.78B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Youtu LLM 2B](/fit/tencent-youtu-llm-2b)

General · tencent

Q8\_0Excellent

2.7 GB17% of RAM~53 tok/sEstimated1.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Huihui Qwen3.5 2B abliterated](/fit/huihui-ai-huihui-qwen3-5-2b-abliterated)

General · huihui-ai

Q8\_0Excellent

3.0 GB19% of RAM~46 tok/sEstimated2.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[UI Venus 1.5 2B](/fit/inclusionai-ui-venus-1-5-2b)

General · inclusionai

Q8\_0Excellent

3.2 GB20% of RAM~43 tok/sEstimated2.44B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[AI21 Jamba Reasoning 3B](/fit/ai21labs-ai21-jamba-reasoning-3b)

Reasoning · ai21labs

Q8\_0Excellent

4.1 GB25% of RAMBenchmark needed3.2B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen2.5 0.5B](/fit/qwen-qwen2-5-0-5b)

General · Alibaba

Q8\_0Excellent

1.0 GB7% of RAM~214 tok/sEstimated0.49B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 1.7B Base](/fit/qwen-qwen3-1-7b-base)

General · Alibaba

Q8\_0Excellent

2.4 GB15% of RAM~61 tok/sEstimated1.72B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 0.6B Base](/fit/qwen-qwen3-0-6b-base)

General · Alibaba

Q8\_0Excellent

1.2 GB7% of RAM~175 tok/sEstimated0.6B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.1 3b](/fit/ibm-granite-granite-4-1-3b)

General · ibm-granite

Q8\_0Excellent

4.3 GB27% of RAM~31 tok/sEstimated3.4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[harrier oss v1 0.6b](/fit/microsoft-harrier-oss-v1-0-6b)

General · Microsoft

Q8\_0Excellent

1.2 GB7% of RAM~175 tok/sEstimated0.6B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[InternVL3 1B hf](/fit/opengvlab-internvl3-1b-hf)

Multimodal · opengvlab

Q8\_0Excellent

1.5 GB10% of RAM~111 tok/sEstimated0.94B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Nanonets OCR2 3B](/fit/nanonets-nanonets-ocr2-3b)

Multimodal · nanonets

Q8\_0Excellent

4.7 GB29% of RAM~28 tok/sEstimated3.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3Guard Gen 0.6B](/fit/qwen-qwen3guard-gen-0-6b)

General · Alibaba

Q8\_0Excellent

1.3 GB8% of RAM~140 tok/sEstimated0.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[voyage 4 nano](/fit/voyageai-voyage-4-nano)

General · voyageai

Q8\_0Excellent

0.9 GB6% of RAM~299 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[harrier oss v1 270m](/fit/microsoft-harrier-oss-v1-270m)

General · Microsoft

Q8\_0Excellent

0.8 GB5% of RAM~388 tok/sEstimated0.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OTel LLM 0.6B IT](/fit/farbodtavakkoli-otel-llm-0-6b-it)

General · farbodtavakkoli

Q8\_0Excellent

1.0 GB6% of RAM~233 tok/sEstimated0.45B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OTel LLM 270M IT](/fit/farbodtavakkoli-otel-llm-270m-it)

General · farbodtavakkoli

Q8\_0Excellent

0.8 GB5% of RAM~388 tok/sEstimated0.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[typhoon ocr 3b](/fit/typhoon-ai-typhoon-ocr-3b)

Multimodal · typhoon-ai

Q8\_0Excellent

4.7 GB29% of RAM~28 tok/sEstimated3.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OTel LLM 1B IT](/fit/farbodtavakkoli-otel-llm-1b-it)

General · farbodtavakkoli

Q8\_0Excellent

1.6 GB10% of RAM~105 tok/sEstimated1B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[dots.ocr 1.5](/fit/kristaller486-dots-ocr-1-5)

General · kristaller486

Q8\_0Excellent

3.9 GB24% of RAM~34 tok/sEstimated3.04B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[qwen base invoicev1.01 1.5B](/fit/laap-ai-qwen-base-invoicev1-01-1-5b)

General · laap-ai

Q8\_0Excellent

2.2 GB14% of RAM~68 tok/sEstimated1.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[pii extractor gemma 3 270m it](/fit/jakobhuss-pii-extractor-gemma-3-270m-it)

General · jakobhuss

Q8\_0Excellent

0.8 GB5% of RAM~388 tok/sEstimated0.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OTel LLM 1.7B IT](/fit/farbodtavakkoli-otel-llm-1-7b-it)

General · farbodtavakkoli

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.49B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Solar Open 100B](/fit/upstage-solar-open-100b)

General · Upstage

Q8\_0Excellent

9.5 GB59% of RAMBenchmark needed8.05B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.1 3b base](/fit/ibm-granite-granite-4-1-3b-base)

General · ibm-granite

Q8\_0Excellent

4.3 GB27% of RAM~31 tok/sEstimated3.4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[deepseek coder 1.3b instruct](/fit/deepseek-ai-deepseek-coder-1-3b-instruct)

Coding · DeepSeek

Q8\_0Excellent

2.0 GB13% of RAM~78 tok/sEstimated1.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VibeThinker 3B](/fit/weiboai-vibethinker-3b)

General · weiboai

Q8\_0Excellent

3.9 GB25% of RAM~34 tok/sEstimated3.09B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llava interleave qwen 0.5b hf](/fit/llava-hf-llava-interleave-qwen-0-5b-hf)

General · llava-hf

Q8\_0Excellent

1.1 GB7% of RAM~210 tok/sEstimated0.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[DynaGuard 1.7B](/fit/tomg-group-umd-dynaguard-1-7b)

General · tomg-group-umd

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.49B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[libra v1.0 3b](/fit/x-izhang-libra-v1-0-3b)

General · x-izhang

Q8\_0Excellent

4.1 GB26% of RAM~32 tok/sEstimated3.25B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Ouro 2.6B](/fit/bytedance-ouro-2-6b)

General · bytedance

Q8\_0Excellent

2.7 GB17% of RAM~52 tok/sEstimated2.01B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 1.7B FC](/fit/contextboxai-qwen3-1-7b-fc)

General · contextboxai

Q8\_0Excellent

2.4 GB15% of RAM~61 tok/sEstimated1.72B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 micro base](/fit/ibm-granite-granite-4-0-micro-base)

General · ibm-granite

Q8\_0Excellent

4.3 GB27% of RAM~31 tok/sEstimated3.4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM4 0.5B](/fit/openbmb-minicpm4-0-5b)

General · openbmb

Q8\_0Excellent

1.0 GB6% of RAM~244 tok/sEstimated0.43B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Kurtis EON1 Hybrid 0.7B v0.1.1](/fit/mrs83-kurtis-eon1-hybrid-0-7b-v0-1-1)

General · mrs83

Q8\_0Excellent

1.2 GB8% of RAM~156 tok/sEstimated0.67B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Bonsai 1.7B ONNX](/fit/onnx-community-bonsai-1-7b-onnx)

General · onnx-community

Q8\_0Excellent

2.2 GB14% of RAM~70 tok/sEstimated1.49B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

Show more (3491 remaining)

## 14-core vs 16-core GPU

Both bins run the same 200 GB/s memory bus, so token generation is the same on either one. The extra cores show up in image and video work, not in tokens per second.

Configuration

Memory bandwidth

Memory options

Models that fit

8-core CPU, 14-core GPU

200 GB/s

16, 32 GB

Identical

10-core CPU, 14-core GPU

200 GB/s

16, 32 GB

Identical

10-core CPU, 16-core GPU

200 GB/s

16, 32 GB

Identical

## Measured on the M1 Pro

Nobody has submitted a benchmark on the M1 Pro yet, so every speed on this page is the formula estimate rather than a measured run. The estimate is bandwidth-driven and calibrated against chips that do have data, which makes it a good guide and not a promise.

ToolPiper contributes a result anonymously when you run the benchmark, and the [leaderboard](/fit/benchmarks) shows every chip that already has one.

## Where to go from here

What each step actually changes for local models, rather than which one is newer.

[One tier up

MacBook Pro 14" M1 Max

2x the memory bandwidth, up to 64 GB instead of 32 GB

](/macbook-pro-14/m1-max)[Newer generation

MacBook Pro 14" M5 Pro

1.5x the memory bandwidth, up to 64 GB instead of 32 GB

](/macbook-pro-14/m5-pro)[Same chip, other Mac

MacBook Pro 16" M1 Pro

The same chip in a different Mac

](/macbook-pro-16/m1-pro)

## 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 M1 Pro's 200 GB/s bus is shared by CPU, GPU, and Neural Engine, so a 32 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 M1 Pro at 32 GB still gives you 200 GB/s and a hard 42B ceiling, and neither number degrades with age the way a battery does.

## Common questions

### Can the M1 Pro MacBook Pro 14" run a 70B model?

No. A 70B model at Q4\_K\_M needs about 46 GB, and the largest M1 Pro MacBook Pro 14" tops out at 32 GB, which leaves about 28 GB for weights. The practical ceiling on this machine is around 42B parameters at Q4.

### How much unified memory should I get with the M1 Pro MacBook Pro 14"?

Memory is the only spec that changes what you can run at all. 16 GB holds about a 20B model at Q4; 32 GB holds about 42B. 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 M1 Pro?

Token generation is bandwidth-bound, so M1 Pro throughput scales with its 200 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 M1 Pro lands in the tens of tokens per second and a 70B model lands in the single digits.

### Is the 16-core GPU worth it over the 14-core on the M1 Pro?

Not for LLMs. Both bins run the same 200 GB/s memory bus and take the same memory options, and token generation is bound by bandwidth rather than GPU cores. The extra cores show up in image generation and video work, not in tokens per second.

### Is a used M1 Pro MacBook Pro 14" still worth buying for local AI?

For inference, the specs that matter do not age: 200 GB/s and up to 32 GB of unified memory are the same numbers today as they were in 2021. A used M1 Pro 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 nothing leaves the machine.

[Get ToolPiper](/toolpiper)[Compare against another Mac](/fit?chip=m1-pro&ram=16)

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