Can I run it?
Can I run Qwen3.6 14B A3B FableVibes on Apple M4 Pro?
Runs
Runs fully in unified memory on your Apple M4 Pro at Q8_0, 8K context, about 45–61 tok/s. Weights 13.6 GB plus 0.19 GB of KV cache — 14.3 GB of 18.0 GB usable. Up to 128K context still fits.
Best quantQ8_0
Working context8K
Max that fits128K
Speed45–61 tok/s
Weights13.6 GB
KV cache0.19 GB
Total14.3 GB
Usable18.0 GB
Qwen3.6 14B A3B FableVibes details · Apple M4 Pro page · How this estimate is made
Run commands
llama.cpp
llama-server -hf tvall43/Qwen3.6-14B-A3B-FableVibes-GGUF:Q8_0 -c 8192 -ngl 40
Ollama
ollama run qwen3.6
LM Studio
lms get tvall43/Qwen3.6-14B-A3B-FableVibes-GGUF # Then load quant Q8_0
Assumptions
- Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
- KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
- Q8_0 size is the real GGUF file size from Hugging Face.
- Unified memory uses 75% for the GPU by default, and always leaves about 5 GB for the OS.
- Speed is quoted at 8K context, not at the maximum context that still fits.
Larger models that also fit
- Can I run Qwen3.8 27B on Apple M4 Pro? — Tight fit, UD-Q4_K_XL, 8.3–11 tok/s
- Can I run Qwen3.6 35B A3B on Apple M4 Pro? — Tight fit, UD-IQ4_XS, 88–120 tok/s
- Can I run Qwen3.8 35B A3B Distill on Apple M4 Pro? — Tight fit, Q3_K_M, 90–123 tok/s
Updated 2026-10-24. Profile on this page is the device default.