Ling 3.0 flash VL
Multimodal model by inclusionai · 124.85B parameters · Released 2026-09-04
Updated 2026-10-12
Everything this chip runs, machine by machine: MacBook Pro 14" M5 Pro, MacBook Pro 16" M5 Pro, Mac mini M5 Pro
Won't fit
Ling 3.0 flash VL needs at least 43.0 GiB, more than the 20.6 GiB available for models, so it needs a Mac with more memory.
Specifications
GGUF Sources
Quantization Options
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.
| Quantization | Memory | Speed | Verdict |
|---|---|---|---|
| Q8_0 | at least 122.1 GiB | Benchmark needed | Won't fit |
| Q6_K | at least 93.0 GiB | Benchmark needed | Won't fit |
| Q5_K_M | at least 79.1 GiB | Benchmark needed | Won't fit |
| Q4_K_M | at least 67.4 GiB | Benchmark needed | Won't fit |
| Q3_K_M | at least 55.8 GiB | Benchmark needed | Won't fit |
| Q2_K | at least 43.0 GiB | Benchmark needed | Won't fit |
Which Mac Can Run Ling 3.0 flash VL?
Affiliate disclosure: the shop icons in this table are Amazon affiliate links. As an Amazon Associate, ModelPiper earns from qualifying purchases. Every fit rating, quantization and tok/s figure below is computed from the hardware specs and is not influenced by that.
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.
Minimum Mac
MacBook Pro 14" — M3 Max 128GB
Q6_K · benchmark needed · 73% RAM · Fit unconfirmed
Known memory leaves the good-fit margin free; the context cache, the recurrent state and the runtime's working memory are not measured.
Models similar to Ling 3.0 flash VL
Closest matches by use case and parameter count.
- Qwen3.8 27B TWIN TURBO Fable Cold Fusion 709 L Uncensored 27.8B · Multimodal
- Huihui Qwen3.8 27B abliterated 27.8B · Multimodal
- moondream3.1 9B A2B 9.3B · Multimodal
- Ovis2.5 9B 9.2B · Multimodal
- aya vision 8b 8.6B · Multimodal
- RaDialog interactive radiology report generation 5.2B · Multimodal
- GLM 5.3 Flash DFlash2 1.2B · General
Run Ling 3.0 flash VL locally on your Mac
ToolPiper downloads, manages, and runs models with one click. Apple Silicon optimized.
Get ToolPiper free