Discrete GPU
GeForce RTX 5080
Data as of
- Memory bandwidth
- 960 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 38–50
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Ornith-1.5-9B Q8_0Context length 131,072 Estimated 15.2 GB 1.97 GB left Speed 59–78
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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 37–50
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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 42–56
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Qwen3.8-27B-Uncensored IQ4_XSContext length 8,192 Estimated 17.0 GB 0.13 GB left (tight) Speed 38–50
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Ornith-1.0-9B Q8_0Context length 131,072 Estimated 14.9 GB 2.23 GB left Speed 60–81
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Context length 512 Estimated 2.41 GB 14.8 GB left Speed 431–574
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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 54–72
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Context length 40,960 Estimated 15.6 GB 1.58 GB left Speed 66–88
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Context length 32,768 Estimated 16.8 GB 0.39 GB left (tight) Speed 43–57
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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 53–71
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Context length 65,536 Estimated 16.2 GB 0.96 GB left Speed 44–59
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Context length 131,072 Estimated 14.9 GB 2.26 GB left Speed 60–81
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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 76–101
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Context length 32,768 Estimated 15.5 GB 1.71 GB left Speed 48–63
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Context length 131,072 Estimated 14.1 GB 3.12 GB left Speed 66–89
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Context length 8,192 Estimated 17.0 GB 0.13 GB left (tight) Speed 38–50
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Context length 8,192 Estimated 17.1 GB 0.08 GB left (tight) Speed 38–50
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Wan2.1 IQ3_SContext length 32,768 Estimated 16.0 GB 1.21 GB left Speed 46–61
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Context length 32,768 Estimated 15.5 GB 1.71 GB left Speed 48–63
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Context length 65,536 Estimated 12.5 GB 4.72 GB left Speed 141–188
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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 112–149
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Context length 262,144 Estimated 12.4 GB 4.82 GB left Speed 215–287
Frequently asked questions
- Which local LLMs run on GeForce RTX 5080?
- 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 GeForce RTX 5080?
- 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 GeForce RTX 5080 generate text?
- With 960 GB/s of memory bandwidth, Qwen3.8-27B at UD-Q4_K_S (15.4 GB) runs at an estimated 38–50 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).