Discrete GPU
Arc B570
Data as of
- Memory bandwidth
- 380 GB/s
- Source
- Checked:
With 10 GB
One entry per model, up to 30, sorted by popularity. For each model we show the largest (most precise) quantization that fits in this memory with a context of at least 8K tokens. The context length is the longest one that quantization fits (for models whose maximum is under 8K, such as embedding models, that maximum). Models that are not for chat or text generation are labelled with their use. "Left" is the memory minus the estimate; under 5% of the memory is marked "tight" (not a guarantee that it fits).
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Context length 8,192 Estimated 10.7 GB 0.02 GB left (tight) Speed 25–34
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Context length 32,768 Estimated 10.7 GB 0.01 GB left (tight) Speed 27–36
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Context length 8,192 Estimated 10.5 GB 0.22 GB left (tight) Speed 26–35
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Context length 8,192 Estimated 10.7 GB 0.01 GB left (tight) Speed 25–34
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Ornith-1.0-9B Q6_KContext length 65,536 Estimated 10.6 GB 0.10 GB left (tight) Speed 31–41
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Context length 512 Estimated 2.41 GB 8.33 GB left Speed 171–227
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Context length 16,384 Estimated 10.4 GB 0.34 GB left (tight) Speed 26–35
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MOSS-Music-8B-Instruct Q4_K_MContext length 16,384 Estimated 8.45 GB 2.29 GB left Speed 44–59
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Context length 8,192 Estimated 9.55 GB 1.19 GB left Speed 30–41
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Context length 16,384 Estimated 10.4 GB 0.35 GB left (tight) Speed 26–35
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Context length 65,536 Estimated 10.6 GB 0.13 GB left (tight) Speed 31–41
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Ternary-Bonsai-2-27B Q2_0Context length 16,384 Estimated 9.90 GB 0.84 GB left Speed 30–40
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Context length 8,192 Estimated 10.5 GB 0.23 GB left (tight) Speed 26–35
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Context length 16,384 Estimated 10.3 GB 0.44 GB left (tight) Speed 26–35
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Context length 8,192 Estimated 10.5 GB 0.23 GB left (tight) Speed 26–35
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Wan2.1 Q4_K_MContext length 32,768 Estimated 9.16 GB 1.58 GB left Speed 39–53
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Context length 8,192 Estimated 10.5 GB 0.23 GB left (tight) Speed 26–35
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Context length 32,768 Estimated 8.70 GB 2.04 GB left Speed 56–74
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Context length 131,072 Estimated 8.42 GB 2.32 GB left Speed 44–59
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Context length 131,072 Estimated 8.07 GB 2.67 GB left Speed 85–114
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Context length 65,536 Estimated 8.34 GB 2.40 GB left Speed 201–268
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Context length 131,072 Estimated 10.7 GB 0.04 GB left (tight) Speed 33–44
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Hy-MT2-7B Q8_0Context length 8,192 Estimated 9.86 GB 0.88 GB left Speed 29–38
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Context length 8,192 Estimated 10.6 GB 0.11 GB left (tight) Speed 26–34
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Context length 262,144 Estimated 4.83 GB 5.90 GB left Speed 417–556
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Context length 8,192 Estimated 10.5 GB 0.23 GB left (tight) Speed 26–35
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Context length 32,768 Estimated 10.3 GB 0.46 GB left (tight) Speed 28–38
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Context length 65,536 Estimated 10.6 GB 0.13 GB left (tight) Speed 31–41
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Sharp-Spark-X2.5-4B Q6_K_XLContext length 131,072 Estimated 9.36 GB 1.37 GB left Speed 63–84
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AdaVaR-3B F16Context length 65,536 Estimated 9.44 GB 1.30 GB left Speed 37–49
Frequently asked questions
- Which local LLMs run on Arc B570?
- On this site, 668 models have a quantization that fits in 10 GB at 8,192 tokens (estimated). Popular ones include Qwen3.8-27B, Ornith-1.5-9B, Huihui-Qwen3.8-27B-abliterated, gemma-4-12B-it, Qwen3.5-9B.
- What is the largest model that runs on Arc B570?
- Among the models listed here, Qwen3.8-Flash-Next-FP4-Local-Strata (about 51.2B); BF16 fits in 10 GB (estimated at 8,192 tokens).
- How fast does Arc B570 generate text?
- With 380 GB/s of memory bandwidth, Qwen3.8-27B at IQ2_XXS (8.98 GB) runs at an estimated 25–34 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).