Intel · Battlemage

What runs on a Arc B580

12 GB at 456 GB/s. The largest model that fits at Q4_K_M is Mistral NeMo 12B, at roughly 30.1 tokens per second.

Runs comfortably

6.4 GB of 10.5 GB · 61%
010 GB
Weights 4.6 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB

Llama 3.1 8B at Q4_K_M leaves 4.0 GB spare on a Arc B580. There is room to raise the context length or move up a quantisation level.

Generation44.9tok/s
Prompt processing1203tok/s
Max context40Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 8B on a Arc B580

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 15.0 GB 16.8 GB Won't fit 4.06
INT8 / W8A8 8.50 7.7 GB 9.5 GB Fits, but tight 16K 28.1
Q8_0 (GGUF) 8.50 7.7 GB 9.5 GB Fits, but tight 16K 28.1
FP8 (E4M3) 8.00 7.5 GB 9.3 GB Runs comfortably 17K 28.9
Q6_K 6.56 6.1 GB 8.0 GB Runs comfortably 28K 34.7
AWQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 34K 38.9
GPTQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 34K 38.9
MXFP4 4.25 5.4 GB 7.2 GB Runs comfortably 34K 38.9
Q5_K_M 5.67 5.3 GB 7.1 GB Runs comfortably 35K 39.6
Q5_K_S 5.52 5.2 GB 7.0 GB Runs comfortably 36K 40.6
Q4_K_M 4.85 4.6 GB 6.4 GB Runs comfortably 40K 44.9
Q4_K_S 4.58 4.4 GB 6.2 GB Runs comfortably 42K 46.9
Q4_0 4.55 4.4 GB 6.2 GB Runs comfortably 42K 47.1
IQ4_XS 4.25 4.1 GB 5.9 GB Runs comfortably 44K 49.6
Q3_K_M 3.91 3.8 GB 5.7 GB Runs comfortably 46K 52.7
IQ3_M 3.70 3.7 GB 5.5 GB Runs comfortably 48K 54.8
IQ3_XXS 3.06 3.2 GB 5.0 GB Runs comfortably 52K 62.5
Q2_K 2.63 2.8 GB 4.6 GB Runs comfortably 55K 69.0
IQ2_XXS 2.06 2.3 GB 4.2 GB Runs comfortably 59K 80.1
IQ1_M 1.75 2.1 GB 3.9 GB Runs comfortably 61K 87.7

Models on a Arc B580

Q4_K_M at 8K context. Bandwidth sets the speed; capacity sets the ceiling.

ModelParamsWeightsVerdictMax ctxtok/s
DeepSeek-R1 671B-A37B 671B 379.0 GB Won't fit 1.54
Qwen3 235B-A22B 235.1B 132.8 GB Won't fit 2.51
gpt-oss 120B-A5.1B 116.8B 66.0 GB Won't fit 11.1
Llama 4 Scout 109B-A17B 109B 61.7 GB Won't fit 3.48
Qwen2.5 72B 72.7B 41.2 GB Won't fit 0.89
Llama 3.1 70B 70.5B 40.0 GB Won't fit 0.92
Mixtral 8x7B 46.7B 26.4 GB Won't fit 5.61
Command R 35B 35.0B 20.1 GB Won't fit 1.29
Yi-1.5 34B 34.4B 19.5 GB Won't fit 2.36
Qwen3 32B 32.8B 18.6 GB Won't fit 2.54
Qwen2.5-Coder 32B 32.8B 18.6 GB Won't fit 2.54
DeepSeek-R1-Distill-Qwen 32B 32.8B 18.6 GB Won't fit 2.54
Qwen3 30B-A3B 30.5B 17.3 GB Won't fit 22.4
Gemma 3 27B 27.4B 15.6 GB Won't fit 3.75
Mistral Small 24B 23.6B 13.4 GB Won't fit 4.99
gpt-oss 20B-A3.6B 20.9B 11.9 GB Won't fit 37.5
Qwen3 14B 14.8B 8.5 GB Won't fit 8K 22.0
Phi-4 14B 14.7B 8.4 GB Won't fit 6K 19.2
Mistral NeMo 12B 12.3B 7.0 GB Runs comfortably 17K 30.1
Gemma 3 12B 12.2B 7.0 GB Runs comfortably 38K 30.5
GLM-4 9B 9.4B 5.4 GB Runs comfortably 109K 41.2
Qwen3 8B 8.2B 4.7 GB Runs comfortably 35K 43.4
Llama 3.1 8B 8.0B 4.6 GB Runs comfortably 40K 44.9
DeepSeek-R1-Distill-Llama 8B 8.0B 4.6 GB Runs comfortably 40K 44.9
Qwen2.5 7B 7.6B 4.4 GB Runs comfortably 97K 49.9
Mistral 7B v0.3 7.3B 4.1 GB Runs comfortably 32K 49.7
Gemma 3 4B 4.3B 2.5 GB Runs comfortably 128K 84.8
Qwen3 4B 4.0B 2.3 GB Runs comfortably 53K 79.5
Llama 3.2 3B 3.2B 1.8 GB Runs comfortably 72K 99.9
Llama 3.2 1B 1.2B 0.7 GB Runs comfortably 128K 267

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