Discrete GPU
Arc A770 (16GB)
Data as of
- Memory bandwidth
- 560 GB/s
- Source
- Checked:
With 16 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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Qwen3.8-27B UD-Q4_K_SContext length 8,192 Estimated 17.1 GB 0.08 GB left (tight) Speed 22–29
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Ornith-1.5-9B Q8_0Context length 131,072 Estimated 15.2 GB 1.97 GB left Speed 34–46
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Context length 131,072 Estimated 17.0 GB 0.14 GB left (tight) Speed not estimated (MoE)
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Context length 8,192 Estimated 17.2 GB 0.02 GB left (tight) Speed 22–29
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Context length 65,536 Estimated 16.5 GB 0.66 GB left (tight) Speed not estimated (MoE)
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Context length 65,536 Estimated 16.3 GB 0.89 GB left Speed 25–33
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Qwen3.8-27B-Uncensored IQ4_XSContext length 8,192 Estimated 17.0 GB 0.13 GB left (tight) Speed 22–29
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Ornith-1.0-9B Q8_0Context length 131,072 Estimated 14.9 GB 2.23 GB left Speed 35–47
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Context length 512 Estimated 2.41 GB 14.8 GB left Speed 251–335
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Context length 32,768 Estimated 17.1 GB 0.05 GB left (tight) Speed not estimated (MoE)
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Context length 131,072 Estimated 16.1 GB 1.05 GB left Speed 31–42
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Context length 40,960 Estimated 15.6 GB 1.58 GB left Speed 39–51
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Context length 32,768 Estimated 16.8 GB 0.39 GB left (tight) Speed 25–33
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Context length 32,768 Estimated 16.8 GB 0.36 GB left (tight) Speed not estimated (MoE)
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Context length 32,768 Estimated 16.5 GB 0.68 GB left (tight) Speed 31–41
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Context length 65,536 Estimated 16.2 GB 0.96 GB left Speed 26–35
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Context length 131,072 Estimated 14.9 GB 2.26 GB left Speed 35–47
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Context length 8,192 Estimated 17.0 GB 0.14 GB left (tight) Speed not estimated (MoE)
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Ternary-Bonsai-2-27B Q2_0Context length 65,536 Estimated 13.1 GB 4.06 GB left Speed 44–59
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Context length 32,768 Estimated 15.5 GB 1.71 GB left Speed 28–37
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Context length 131,072 Estimated 14.1 GB 3.12 GB left Speed 39–52
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Context length 8,192 Estimated 17.0 GB 0.13 GB left (tight) Speed 22–29
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Context length 8,192 Estimated 17.1 GB 0.08 GB left (tight) Speed 22–29
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Wan2.1 IQ3_SContext length 32,768 Estimated 16.0 GB 1.21 GB left Speed 27–36
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Context length 32,768 Estimated 15.5 GB 1.71 GB left Speed 28–37
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Context length 65,536 Estimated 12.5 GB 4.72 GB left Speed 82–109
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Context length 65,536 Estimated 16.3 GB 0.89 GB left Speed not estimated (MoE)
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Context length 16,384 Estimated 16.9 GB 0.29 GB left (tight) Speed not estimated (MoE)
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Context length 131,072 Estimated 8.42 GB 8.76 GB left Speed 65–87
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Context length 262,144 Estimated 12.4 GB 4.82 GB left Speed 126–167
Frequently asked questions
- Which local LLMs run on Arc A770 (16GB)?
- On this site, 834 models have a quantization that fits in 16 GB at 8,192 tokens (estimated). Popular ones include Qwen3.8-27B, Ornith-1.5-9B, Huihui-Qwen3.6-35B-A3B-abliterated-MTP, Ornith-1.5-35B-A3B, Huihui-Qwen3.8-27B-abliterated.
- What is the largest model that runs on Arc A770 (16GB)?
- Among the models listed here, Qwen3.8-Flash-Next-FP4-Local-Strata (about 51.2B); BF16 fits in 16 GB (estimated at 8,192 tokens).
- How fast does Arc A770 (16GB) generate text?
- With 560 GB/s of memory bandwidth, Qwen3.8-27B at UD-Q4_K_S (15.4 GB) runs at an estimated 22–29 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).