Compatibility Check
Can I Run GPT-OSS 20B on NVIDIA GeForce RTX 3090?
Yes — NVIDIA GeForce RTX 3090 runs GPT-OSS 20B fully on GPU at the Q5_K_M quantization.
Estimated ~65.1 tokens/sec on the Q5_K_M quantization.
Full GPU
Best variant: Q5_K_M
Full GPU inference — 24 GB VRAM meets the 16.3 GB recommendation.
- GPU VRAM
- 24 GB
- Min VRAM (best fit)
- 14.4 GB
- Recommended VRAM
- 16.3 GB
- Estimated tok/s
- ~65.1
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Every GPT-OSS 20B quantization on NVIDIA GeForce RTX 3090
Each row runs the compatibility engine against your VRAM, RAM, and the model's requirements.
| Quantization | File Size | Min VRAM | Rec VRAM | Context | Verdict | Estimated tok/s |
|---|---|---|---|---|---|---|
| Q4_K_M | 10 GB | 11.5 GB | 13 GB | 8K / 8K | Full GPU | ~74.9 |
| Q5_K_MBest fit | 12.5 GB | 14.4 GB | 16.3 GB | 8K / 8K | Full GPU | ~65.1 |
| Q8_0 | 20 GB | 23 GB | 26 GB | 8K / 8K | Partial GPU | ~31.2 |
| FP16 | 40 GB | 46 GB | 52 GB | 8K / 8K | Hybrid CPU+GPU | ~7 |
NVIDIA GeForce RTX 3090 is solid pick for GPT-OSS 20B
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