Pixtral Large 124B (2411) on Intel Arc B580

Can the Intel Arc B580 run Pixtral Large 124B (2411)?

7 pts

No, it doesn’t fit

No. Pixtral Large 124B (2411) needs about 53.8 GB even at Q2_K; the Intel Arc B580 has 12.0 GB usable.

Download Pixtral Large 124B (2411)

Original weights · Hugging Face

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

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

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Links checked 7 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.	7.4 / 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	7.4 / 100	7 ptsWon't run (F) · 7 of 100 points: Model quality 7.4/45, 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`	53.8 GB	12.0 GB	—	Won't run	7 ptsWon't run (F) · 7 of 100 points: Model quality 7.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q3_K_M`	64.9 GB	12.0 GB	—	Won't run	8 ptsWon't run (F) · 8 of 100 points: Model quality 8.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q4_K_M`	79.8 GB	12.0 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q5_K_M`	92.2 GB	12.0 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q6_K`	106 GB	12.0 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`Q8_0`	136 GB	12.0 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	All files (opens in a new tab)
`F16`	252 GB	12.0 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.5/45, 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.

Hardware that can run it

82 ptsGreat (A) · 82 of 100 points: Model quality 33.3/45, Memory fit 24.0/25, Speed 10.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q4_K_M · 17.7 tok/s
79 ptsGreat (A) · 79 of 100 points: Model quality 34.7/45, Memory fit 25.0/25, Speed 5.2/15, Memory use 15.0/15 Apple M2 Ultra (192 GB) Q6_K · 4.7 tok/s
79 ptsGreat (A) · 79 of 100 points: Model quality 34.7/45, Memory fit 25.0/25, Speed 5.2/15, Memory use 14.5/15 Apple M3 Ultra (256 GB) Q6_K · 4.8 tok/s
77 ptsGreat (A) · 77 of 100 points: Model quality 33.3/45, Memory fit 24.0/25, Speed 5.1/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q4_K_M · 4.7 tok/s
77 ptsGreat (A) · 77 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 3.9/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) Q4_K_M · 2.7 tok/s
75 ptsGreat (A) · 75 of 100 points: Model quality 33.3/45, Memory fit 24.0/25, Speed 3.5/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q4_K_M · 2.2 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.