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Can the AMD Ryzen AI Max+ 395 (128 GB) run Mistral Large 2.1 (2411)?

76 ptsGreat (A) · 76 of 100 points: Model quality 34.2/45, Memory fit 24.0/25, Speed 3.5/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At Q4_K_M it needs about 86.0 GB of 96.0 GB usable, with an estimated speed of 2.2 tok/s.

Best quant
Q4_K_M
Generation speed
2.2 tok/s
Prompt processing
300 tok/s
First token (1K prompt)
3.4 s
Largest safe context
35K

Download Mistral Large 2.1 (2411)

Recommended for the AMD Ryzen AI Max+ 395 (128 GB): Q4_K_M. Every other quantization has its own download link in the table below.

Quickest · Ollama

One command downloads a ready-to-run version and starts a chat.

ollama run mistral-large:123b-instruct-2411-q4_K_M

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

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/bartowski/Mistral-Large-Instruct-2411-GGUF (opens in a new tab)

ollama run hf.co/bartowski/Mistral-Large-Instruct-2411-GGUF

Original weights · Hugging Face

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

huggingface.co/mistralai/Mistral-Large-Instruct-2411 (opens in a new tab)

No sign-in needed.

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

How the A 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.34.2 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.3.5 / 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
Total76.7 / 10076 ptsGreat (A) · 76 of 100 points: Model quality 34.2/45, Memory fit 24.0/25, Speed 3.5/15, 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 AMD Ryzen AI Max+ 395 (128 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 60.3 GB 96.0 GB 3.6 tok/s Runs well 69 ptsGood (B) · 69 of 100 points: Model quality 25.2/45, Memory fit 25.0/25, Speed 4.5/15, Memory use 14.5/15 GGUF (opens in a new tab)
Q3_K_M 71.3 GB 96.0 GB 2.9 tok/s Runs well 74 ptsGreat (A) · 74 of 100 points: Model quality 30.2/45, Memory fit 25.0/25, Speed 4.0/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q4_K_M 86.0 GB 96.0 GB 2.2 tok/s Tight fit 76 ptsGreat (A) · 76 of 100 points: Model quality 34.2/45, Memory fit 24.0/25, Speed 3.5/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q5_K_M 98.3 GB 96.0 GB 1.5 tok/s Runs with offload 62 ptsGood (B) · 62 of 100 points: Model quality 34.9/45, Memory fit 10.0/25, Speed 3.0/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q6_K 112 GB 96.0 GB 1.3 tok/s Heavy offload 57 ptsUsable (C) · 57 of 100 points: Model quality 35.6/45, Memory fit 4.0/25, Speed 2.7/15, Memory use 15.0/15 GGUF · folder (opens in a new tab)
Q8_0 141 GB 96.0 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab)
F16 256 GB 96.0 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 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.