Can I run it?
Can I run Qwen3.6 27B on Apple M1 Max?
Tight fit
Tight fit fully in unified memory on your Apple M1 Max at Q6_K, 8K context, about 9.5–13 tok/s. Weights 21.0 GB plus 0.57 GB of KV cache — 22.1 GB of 24.0 GB usable. Up to 16K context still fits.
Best quantQ6_K
Working context8K
Max that fits16K
Speed9.5–13 tok/sEstimate from memory bandwidth, not a benchmark. Method.
Weights21.0 GB
KV cache0.57 GB
Total22.1 GB
Usable24.0 GB
Qwen3.6 27B details · Apple M1 Max page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3.6-27B-GGUF:Q6_K -c 8192 -ngl 64
Ollama
ollama run qwen3.6
LM Studio
lms get unsloth/Qwen3.6-27B-GGUF # Then load quant Q6_K
Assumptions
- Estimate from memory bandwidth, not a benchmark. Decode speed uses 55–75% of peak bandwidth.
- 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%.
- Q6_K 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 M1 Max? — Tight fit, UD-Q6_K_L, 9.0–12 tok/s (estimate)
- Can I run Qwen3.6 35B A3B on Apple M1 Max? — Tight fit, UD-Q4_K_XL, 24–32 tok/s (estimate)
- Can I run Qwen3.8 35B A3B Distill on Apple M1 Max? — Tight fit, Q4_K_M, 24–33 tok/s (estimate)
Updated 2026-10-24. Profile on this page is the device default.