Discrete GPU
GeForce RTX 4080 SUPER
Data as of
- Memory bandwidth
- 736 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).
-
Qwen3.8-27B UD-Q4_K_SContext length 8,192 Estimated 17.1 GB 0.08 GB left (tight) Speed 29–38
-
Ornith-1.5-9B Q8_0Context length 131,072 Estimated 15.2 GB 1.97 GB left Speed 45–60
-
Context length 131,072 Estimated 17.0 GB 0.14 GB left (tight) Speed not estimated (MoE)
-
Context length 8,192 Estimated 17.2 GB 0.02 GB left (tight) Speed 29–38
-
Context length 65,536 Estimated 16.5 GB 0.66 GB left (tight) Speed not estimated (MoE)
-
Context length 65,536 Estimated 16.3 GB 0.89 GB left Speed 32–43
-
Qwen3.8-27B-Uncensored IQ4_XSContext length 8,192 Estimated 17.0 GB 0.13 GB left (tight) Speed 29–38
-
Ornith-1.0-9B Q8_0Context length 131,072 Estimated 14.9 GB 2.23 GB left Speed 46–62
-
Context length 512 Estimated 2.41 GB 14.8 GB left Speed 330–440
-
Context length 32,768 Estimated 17.1 GB 0.05 GB left (tight) Speed not estimated (MoE)
-
Context length 131,072 Estimated 16.1 GB 1.05 GB left Speed 41–55
-
Context length 40,960 Estimated 15.6 GB 1.58 GB left Speed 51–68
-
Context length 32,768 Estimated 16.8 GB 0.39 GB left (tight) Speed 33–44
-
Context length 32,768 Estimated 16.8 GB 0.36 GB left (tight) Speed not estimated (MoE)
-
Context length 32,768 Estimated 16.5 GB 0.68 GB left (tight) Speed 41–54
-
Context length 65,536 Estimated 16.2 GB 0.96 GB left Speed 34–45
-
Context length 131,072 Estimated 14.9 GB 2.26 GB left Speed 46–62
-
Context length 8,192 Estimated 17.0 GB 0.14 GB left (tight) Speed not estimated (MoE)
-
Ternary-Bonsai-2-27B Q2_0Context length 65,536 Estimated 13.1 GB 4.06 GB left Speed 58–77
-
Context length 32,768 Estimated 15.5 GB 1.71 GB left Speed 36–49
-
Context length 131,072 Estimated 14.1 GB 3.12 GB left Speed 51–68
-
Context length 8,192 Estimated 17.0 GB 0.13 GB left (tight) Speed 29–38
-
Context length 8,192 Estimated 17.1 GB 0.08 GB left (tight) Speed 29–38
-
Wan2.1 IQ3_SContext length 32,768 Estimated 16.0 GB 1.21 GB left Speed 35–47
-
Context length 32,768 Estimated 15.5 GB 1.71 GB left Speed 36–49
-
Context length 65,536 Estimated 12.5 GB 4.72 GB left Speed 108–144
-
Context length 65,536 Estimated 16.3 GB 0.89 GB left Speed not estimated (MoE)
-
Context length 16,384 Estimated 16.9 GB 0.29 GB left (tight) Speed not estimated (MoE)
-
Context length 131,072 Estimated 8.42 GB 8.76 GB left Speed 86–114
-
Context length 262,144 Estimated 12.4 GB 4.82 GB left Speed 165–220
Frequently asked questions
- Which local LLMs run on GeForce RTX 4080 SUPER?
- 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 4080 SUPER?
- 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 4080 SUPER generate text?
- With 736 GB/s of memory bandwidth, Qwen3.8-27B at UD-Q4_K_S (15.4 GB) runs at an estimated 29–38 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).