Discrete GPU
GeForce RTX 5070
Data as of
- Memory bandwidth
- 672 GB/s
- Source
- Checked:
With 12 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 12.9 GB 0.00 GB left (tight) Speed 36–48
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Ornith-1.5-9B Q8_0Context length 32,768 Estimated 12.0 GB 0.90 GB left Speed 41–55
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Context length 8,192 Estimated 12.8 GB 0.12 GB left (tight) Speed 37–49
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Context length 32,768 Estimated 12.8 GB 0.09 GB left (tight) Speed 38–50
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Qwen3.8-27B-Uncensored IQ2_MContext length 8,192 Estimated 12.4 GB 0.52 GB left (tight) Speed 38–51
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Ornith-1.0-9B Q8_0Context length 65,536 Estimated 12.8 GB 0.08 GB left (tight) Speed 42–56
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Context length 512 Estimated 2.41 GB 10.5 GB left Speed 302–402
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Context length 16,384 Estimated 12.8 GB 0.07 GB left (tight) Speed not estimated (MoE)
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Context length 16,384 Estimated 12.4 GB 0.51 GB left (tight) Speed 38–50
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Context length 16,384 Estimated 12.0 GB 0.91 GB left Speed 46–62
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Context length 8,192 Estimated 12.4 GB 0.47 GB left (tight) Speed 38–50
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Context length 8,192 Estimated 12.8 GB 0.04 GB left (tight) Speed not estimated (MoE)
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Context length 8,192 Estimated 12.9 GB 0.00 GB left (tight) Speed 37–50
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Context length 32,768 Estimated 12.0 GB 0.91 GB left Speed 41–55
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Context length 65,536 Estimated 12.8 GB 0.11 GB left (tight) Speed 42–56
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Context length 8,192 Estimated 12.8 GB 0.08 GB left (tight) Speed not estimated (MoE)
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Ternary-Bonsai-2-27B Q2_0Context length 32,768 Estimated 11.0 GB 1.91 GB left Speed 53–70
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Swift-1.5-Qwen3.8-27B-GSQ-RCO IQ3_XXSContext length 16,384 Estimated 12.7 GB 0.17 GB left (tight) Speed 39–51
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Context length 65,536 Estimated 11.9 GB 0.97 GB left Speed 47–62
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Context length 16,384 Estimated 12.7 GB 0.17 GB left (tight) Speed 39–51
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Wan2.1 IQ2_MContext length 8,192 Estimated 12.4 GB 0.49 GB left (tight) Speed 38–51
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Context length 16,384 Estimated 12.7 GB 0.17 GB left (tight) Speed 39–51
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Context length 65,536 Estimated 12.5 GB 0.43 GB left (tight) Speed 99–131
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Context length 4,096 Estimated 12.9 GB 0.03 GB left (tight) Speed not estimated (MoE)
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Context length 131,072 Estimated 8.42 GB 4.47 GB left Speed 78–104
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Context length 262,144 Estimated 12.4 GB 0.52 GB left (tight) Speed 151–201
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Context length 65,536 Estimated 8.34 GB 4.55 GB left Speed 356–474
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Context length 262,144 Estimated 12.8 GB 0.04 GB left (tight) Speed 58–77
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Hy-MT2-7B Q8_0Context length 16,384 Estimated 10.9 GB 1.96 GB left Speed 51–67
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Context length 16,384 Estimated 12.7 GB 0.17 GB left (tight) Speed 39–51
Frequently asked questions
- Which local LLMs run on GeForce RTX 5070?
- On this site, 753 models have a quantization that fits in 12 GB at 8,192 tokens (estimated). Popular ones include Qwen3.8-27B, Ornith-1.5-9B, Ornith-1.5-35B-A3B, Huihui-Qwen3.8-27B-abliterated, gemma-4-12B-it.
- What is the largest model that runs on GeForce RTX 5070?
- Among the models listed here, Qwen3.8-Flash-Next-FP4-Local-Strata (about 51.2B); BF16 fits in 12 GB (estimated at 8,192 tokens).
- How fast does GeForce RTX 5070 generate text?
- With 672 GB/s of memory bandwidth, Qwen3.8-27B at IQ2_S (11.1 GB) runs at an estimated 36–48 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).