Unsloth Gpt Oss 20B Unsloth Bnb 4bit speed on RTX 5090 and quantization-level VRAM fit.
RTX 5090 meets the minimum VRAM requirement for Q4 inference of Unsloth Gpt Oss 20B Unsloth Bnb 4bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5090 can run Unsloth Gpt Oss 20B Unsloth Bnb 4bit with Q4 quantization. At approximately 165 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 22GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 10GB | 32GB | 164.87 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 32GB | 115.41 tok/s | ✅ Fits comfortably |
| FP16 | 40GB | 32GB | 62.65 tok/s | ❌ Not recommended |
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Compare prebuilt systems →RTX 5090 can run Unsloth Gpt Oss 20B Unsloth Bnb 4bit at Q4 with an estimated 165 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while RTX 5090 has 32GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.