MiMo V2.6 Pro (1T-A42B) on Intel Arc B580

Can the Intel Arc B580 run MiMo V2.6 Pro (1T-A42B)?

9 pts

No, it doesn’t fit

No. MiMo V2.6 Pro (1T-A42B) needs about 411 GB even at Q2_K; the Intel Arc B580 has 12.0 GB usable.

Download MiMo V2.6 Pro (1T-A42B)

Recommended: 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 file (opens in a new tab)

huggingface.co/ggml-org/MiMo-V2.6-Pro-RL-GGUF (opens in a new tab)

ollama run hf.co/ggml-org/MiMo-V2.6-Pro-RL-GGUF:Q2_K

Original weights · Hugging Face

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

huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL (opens in a new tab)

No sign-in needed.

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

How the F 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.	9.4 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	0.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	0.0 / 15
Total	9.4 / 100	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

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

Every quantization on the Intel Arc B580

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	411 GB	12.0 GB	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · part 1 of 7 (opens in a new tab)
`Q3_K_M`	504 GB	12.0 GB	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q4_K_M`	627 GB	12.0 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (Q4_0) (opens in a new tab)
`Q5_K_M`	729 GB	12.0 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 13.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q6_K`	842 GB	12.0 GB	—	Won't run	13 ptsWon't run (F) · 13 of 100 points: Model quality 13.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q8_0`	1,087 GB	12.0 GB	—	Won't run	13 ptsWon't run (F) · 13 of 100 points: Model quality 13.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`F16`	2,050 GB	12.0 GB	—	Won't run	13 ptsWon't run (F) · 13 of 100 points: Model quality 13.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (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.

Hardware that can run it

59 ptsGood (B) · 59 of 100 points: Model quality 31.2/45, Memory fit 4.0/25, Speed 9.0/15, Memory use 15.0/15 Apple M3 Ultra (512 GB) Q2_K · 14.4 tok/s

Models that do run on the Intel Arc B580

89 ptsExcellent (S) · 89 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 14.2/15, Memory use 15.0/15 Gemma 4 12B Q4_K_M · 35.8 tok/s
87 ptsExcellent (S) · 87 of 100 points: Model quality 33.6/45, Memory fit 25.0/25, Speed 14.3/15, Memory use 15.0/15 Ornith 1.5 9B Q5_K_M · 36.6 tok/s
87 ptsExcellent (S) · 87 of 100 points: Model quality 33.2/45, Memory fit 25.0/25, Speed 14.3/15, Memory use 15.0/15 Qwen3.5 9B Q5_K_M · 36.6 tok/s
87 ptsExcellent (S) · 87 of 100 points: Model quality 32.3/45, Memory fit 25.0/25, Speed 14.9/15, Memory use 15.0/15 TMax 9B Q5_K_M · 39.5 tok/s
87 ptsExcellent (S) · 87 of 100 points: Model quality 32.7/45, Memory fit 25.0/25, Speed 14.3/15, Memory use 15.0/15 Ornith 1.0 9B Q5_K_M · 36.6 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.