Discrete GPU
GeForce RTX 5090
Data as of
- Memory bandwidth
- 1,792 GB/s
- Source
- Checked:
With 32 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-Q8_K_XLContext length 16,384 Estimated 33.7 GB 0.63 GB left (tight) Speed 34–46
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Ornith-1.5-9B BF16Context length 262,144 Estimated 28.1 GB 6.24 GB left Speed 58–78
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Context length 131,072 Estimated 33.0 GB 1.36 GB left (tight) Speed not estimated (MoE)
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Context length 65,536 Estimated 33.2 GB 1.13 GB left (tight) Speed not estimated (MoE)
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Context length 16,384 Estimated 33.7 GB 0.63 GB left (tight) Speed 34–46
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Context length 262,144 Estimated 33.6 GB 0.74 GB left (tight) Speed not estimated (MoE)
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Context length 131,072 Estimated 26.9 GB 7.44 GB left Speed 63–84
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Context length 32,768 Estimated 34.0 GB 0.34 GB left (tight) Speed not estimated (MoE)
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Context length 262,144 Estimated 29.7 GB 4.66 GB left Speed 45–60
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Context length 32,768 Estimated 32.4 GB 1.96 GB left Speed 37–49
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Ornith-1.0-9B BF16Context length 262,144 Estimated 27.6 GB 6.72 GB left Speed 60–80
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Context length 512 Estimated 2.41 GB 31.9 GB left Speed 804–1,072
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Context length 16,384 Estimated 34.1 GB 0.30 GB left (tight) Speed not estimated (MoE)
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Context length 262,144 Estimated 28.1 GB 6.26 GB left Speed 58–78
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Context length 40,960 Estimated 23.3 GB 11.1 GB left Speed 66–87
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Context length 16,384 Estimated 33.7 GB 0.63 GB left (tight) Speed 34–46
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Context length 131,072 Estimated 31.7 GB 2.65 GB left Speed not estimated (MoE)
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Context length 65,536 Estimated 26.9 GB 7.46 GB left Speed 66–87
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Context length 262,144 Estimated 28.1 GB 6.26 GB left Speed 58–78
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Context length 262,144 Estimated 27.6 GB 6.75 GB left Speed 60–80
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Context length 65,536 Estimated 34.3 GB 0.06 GB left (tight) Speed not estimated (MoE)
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Ternary-Bonsai-2-27B Q2_0Context length 262,144 Estimated 26.0 GB 8.35 GB left Speed 141–188
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Context length 262,144 Estimated 30.5 GB 3.86 GB left Speed 89–118
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Context length 262,144 Estimated 18.4 GB 16.0 GB left Speed 124–165
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Ornith-1.0-35B Q6_KContext length 131,072 Estimated 32.3 GB 2.02 GB left Speed not estimated (MoE)
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Context length 32,768 Estimated 33.6 GB 0.77 GB left (tight) Speed 36–47
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Context length 16,384 Estimated 33.7 GB 0.63 GB left (tight) Speed 34–46
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Wan2.1 IQ4_NLContext length 65,536 Estimated 34.3 GB 0.03 GB left (tight) Speed 37–50
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Context length 262,144 Estimated 30.5 GB 3.86 GB left Speed 89–118
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Context length 65,536 Estimated 12.5 GB 21.9 GB left Speed 263–350
Frequently asked questions
- Which local LLMs run on GeForce RTX 5090?
- On this site, 965 models have a quantization that fits in 32 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 5090?
- Among the models listed here, Mixtral-8x22B-Instruct-v0.1 (about 140.6B); IQ1_S fits in 32 GB (estimated at 8,192 tokens).
- How fast does GeForce RTX 5090 generate text?
- With 1,792 GB/s of memory bandwidth, Qwen3.8-27B at UD-Q8_K_XL (31.5 GB) runs at an estimated 34–46 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).