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Can the Apple M2 Ultra (192 GB) run Qwen3.8 Flash Next (125B-A6B)?

96 ptsExcellent (S) · 96 of 100 points: Model quality 41.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15

Yes, it runs well

Runs well. At Q4_K_M it needs about 122 GB of 144 GB usable, with an estimated speed of 70.5 tok/s.

Best quant
Q4_K_M
Generation speed
70.5 tok/s
Prompt processing
2,811 tok/s
First token (1K prompt)
0.4 s
Largest safe context
256K

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

Recommended for the Apple M2 Ultra (192 GB): Q4_K_M. 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 Q4_K_M 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 6 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.41.3 / 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
Total96.3 / 10096 ptsExcellent (S) · 96 of 100 points: Model quality 41.3/45, 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 M2 Ultra (192 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 84.3 GB 144 GB 116 tok/s Runs well 83 ptsGreat (A) · 83 of 100 points: Model quality 30.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.5/15 GGUF (UD-Q2_K_XL) · folder (opens in a new tab)
Q3_K_M 101 GB 144 GB 91.1 tok/s Runs well 91 ptsExcellent (S) · 91 of 100 points: Model quality 36.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 GGUF (UD-Q3_K_XL) · folder (opens in a new tab)
Q4_K_M 122 GB 144 GB 70.5 tok/s Runs well 96 ptsExcellent (S) · 96 of 100 points: Model quality 41.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q5_K_M 140 GB 144 GB 58.2 tok/s Tight fit 96 ptsExcellent (S) · 96 of 100 points: Model quality 42.1/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 GGUF (UD-Q5_K_XL) · folder (opens in a new tab)
Q6_K 160 GB 144 GB 41.6 tok/s Heavy offload 76 ptsGreat (A) · 76 of 100 points: Model quality 43.0/45, Memory fit 4.0/25, Speed 15.0/15, Memory use 15.0/15 GGUF (UD-Q6_K_XL) · folder (opens in a new tab)
Q8_0 203 GB 144 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 372 GB 144 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.