MiniMax M2.1 (230B-A10B) on NVIDIA RTX PRO 6000 Blackwell

Can the NVIDIA RTX PRO 6000 Blackwell run MiniMax M2.1 (230B-A10B)?

68 pts

Yes, with part of the model in system RAM

Runs with offload. At Q2_K it needs about 99.0 GB of 96.0 GB usable, with an estimated speed of 98.4 tok/s.

Best quant: Q2_K
Generation speed: 98.4 tok/s
Prompt processing: 8,796 tok/s
First token (1K prompt): 0.3 s
Largest safe context: —

Download MiniMax M2.1 (230B-A10B)

Recommended for the NVIDIA RTX PRO 6000 Blackwell: Q2_K. Every other quantization has its own download link in the table below.

Ollama

Ollama only offered this as a cloud model, and has since retired it. To run it locally, use the GGUF files below with llama.cpp or LM Studio.

Quantized files · GGUF

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

Download the Q2_K files (opens in a new tab)

huggingface.co/unsloth/MiniMax-M2.1-GGUF (opens in a new tab)

ollama run hf.co/unsloth/MiniMax-M2.1-GGUF

Original weights · Hugging Face

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

huggingface.co/MiniMaxAI/MiniMax-M2.1 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/MiniMax-AI/MiniMax-M2.1 (opens in a new tab)

git clone https://github.com/MiniMax-AI/MiniMax-M2.1

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

How the B 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.	28.7 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	10.0 / 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
Total	68.7 / 100	68 ptsGood (B) · 68 of 100 points: Model quality 28.7/45, Memory fit 10.0/25, 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 NVIDIA RTX PRO 6000 Blackwell

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	99.0 GB	96.0 GB	98.4 tok/s	Runs with offload	68 ptsGood (B) · 68 of 100 points: Model quality 28.7/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF · folder (opens in a new tab)
`Q3_K_M`	120 GB	96.0 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q4_K_M`	147 GB	96.0 GB	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q5_K_M`	170 GB	96.0 GB	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.9/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q6_K`	195 GB	96.0 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q8_0`	250 GB	96.0 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`F16`	465 GB	96.0 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.3/45, 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

93 ptsExcellent (S) · 93 of 100 points: Model quality 38.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M3 Ultra (256 GB) Q4_K_M · 43.3 tok/s
90 ptsExcellent (S) · 90 of 100 points: Model quality 39.7/45, Memory fit 25.0/25, Speed 14.2/15, Memory use 11.8/15 Apple M3 Ultra (512 GB) Q5_K_M · 35.8 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.4/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M2 Ultra (192 GB) Q3_K_M · 54.7 tok/s
80 ptsGreat (A) · 80 of 100 points: Model quality 28.7/45, Memory fit 24.0/25, Speed 12.4/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) Q2_K · 27.5 tok/s
68 ptsGood (B) · 68 of 100 points: Model quality 28.7/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q2_K · 40.3 tok/s

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.