Unsloth Gpt Oss 20B Bf16 speed on RTX 4070 and quantization-level VRAM fit.
RTX 4070 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 4070 can run Unsloth Gpt Oss 20B Bf16 with Q4 quantization. At approximately 46 tokens/second, you can expect Moderate speed - useful for batch processing.
VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 11GB | 12GB | 46.02 tok/s | ⚠️ Tight fit |
| Q8 | 21GB | 12GB | 32.21 tok/s | ❌ Not recommended |
| FP16 | 42GB | 12GB | 17.49 tok/s | ❌ Not recommended |
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RTX 4070 can run Unsloth Gpt Oss 20B Bf16 at Q4 with an estimated 46 tok/s.
Q4 inference is estimated to need about 11GB VRAM on this page, while RTX 4070 has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.