Unsloth Gpt Oss 20B Bf16 speed on RTX 5080 and quantization-level VRAM fit.
RTX 5080 meets the minimum VRAM requirement for Q4 inference of Unsloth Gpt Oss 20B Bf16. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5080 can run Unsloth Gpt Oss 20B Bf16 with Q4 quantization. At approximately 87 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 6GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 10GB | 16GB | 86.96 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 16GB | 60.87 tok/s | ❌ Not recommended |
| FP16 | 40GB | 16GB | 33.04 tok/s | ❌ Not recommended |
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Compare prebuilt systems →RTX 5080 can run Unsloth Gpt Oss 20B Bf16 at Q4 with an estimated 87 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while RTX 5080 has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.