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Can the Apple M4 Max (128 GB) run Qwen3.8 Flash Next (125B-A6B)?

85 ptsExcellent (S) · 85 of 100 points: Model quality 30.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15

Yes, it runs well

Runs well. At Q2_K it needs about 80.5 GB of 96.0 GB usable, with an estimated speed of 79.0 tok/s.

Best quant
Q2_K
Generation speed
79.0 tok/s
Prompt processing
1,901 tok/s
First token (1K prompt)
0.5 s
Largest safe context
256K

Download Qwen3.8 Flash Next (125B-A6B)

Recommended for the Apple M4 Max (128 GB): Q2_K. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q2_K (UD-Q2_K_XL) files (opens in a new tab)

huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF (opens in a new tab)

ollama run hf.co/unsloth/Qwen3.8-Flash-Next-GGUF

Original weights · Hugging Face

Full-precision files from Alibaba, for fine-tuning, vLLM, Transformers.

huggingface.co/Qwen/Qwen3.8-Flash-Next (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Alibaba. The weights themselves download from Hugging Face.

github.com/QwenLM/Qwen3.8 (opens in a new tab)

git clone https://github.com/QwenLM/Qwen3.8

Qwen’s current repo: Qwen3.5 and Qwen3.6 redirect here.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the S grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.30.4 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.15.0 / 15
Total85.4 / 10085 ptsExcellent (S) · 85 of 100 points: Model quality 30.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the Apple M4 Max (128 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 80.5 GB 96.0 GB 79.0 tok/s Runs well 85 ptsExcellent (S) · 85 of 100 points: Model quality 30.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 GGUF (UD-Q2_K_XL) · folder (opens in a new tab)
Q3_K_M 96.7 GB 96.0 GB 52.9 tok/s Runs with offload 76 ptsGreat (A) · 76 of 100 points: Model quality 36.5/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15 GGUF (UD-Q3_K_XL) · folder (opens in a new tab)
Q4_K_M 118 GB 96.0 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab)
Q5_K_M 136 GB 96.0 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (UD-Q5_K_XL) · folder (opens in a new tab)
Q6_K 156 GB 96.0 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.9/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (UD-Q6_K_XL) · folder (opens in a new tab)
Q8_0 199 GB 96.0 GB — Won't run 13 ptsWon't run (F) · 13 of 100 points: Model quality 13.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
F16 368 GB 96.0 GB — Won't run 13 ptsWon't run (F) · 13 of 100 points: Model quality 13.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab) Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.