Can I run it?
Can I run Qwen3 Coder Next on Apple M1 Max?
Heavily degraded
Heavily degraded fully in unified memory on your Apple M1 Max at UD-IQ2_XXS, 8K context, about 21–29 tok/s. Weights 21.7 GB plus 0.75 GB of KV cache — 23.0 GB of 24.0 GB usable.
Best quantUD-IQ2_XXS
Working context8K
Max that fits8K
Speed21–29 tok/sEstimate from memory bandwidth, not a benchmark. Method.
Weights21.7 GB
KV cache0.75 GB
Total23.0 GB
Usable24.0 GB
Qwen3 Coder Next details · Apple M1 Max page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3-Coder-Next-GGUF:UD-IQ2_XXS -c 8192 -ngl 48
Ollama
ollama run qwen3-coder-next
LM Studio
lms get unsloth/Qwen3-Coder-Next-GGUF # Then load quant UD-IQ2_XXS
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%.
- UD-IQ2_XXS 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.
- This quant is IQ1 or IQ2. It can load, but quality is heavily degraded, so it is left off best-fit lists.
Larger models that also fit
No close alternative in the current catalog.
Updated 2026-10-24. Profile on this page is the device default.