Compatibility Check
Can I Run GPT-OSS 20B on NVIDIA GeForce RTX 4070 Ti?
Mostly — NVIDIA GeForce RTX 4070 Ti runs GPT-OSS 20B (Q4_K_M) with partial GPU offload. Expect slower speeds than a fully fitting card.
Estimated ~28.2 tokens/sec on the Q4_K_M quantization.
Partial GPU
Best variant: Q4_K_M
Partial GPU offload — 12 GB VRAM is above the 11.5 GB minimum but below the 13 GB recommendation. Some layers will spill to RAM.
- GPU VRAM
- 12 GB
- Min VRAM (best fit)
- 11.5 GB
- Recommended VRAM
- 13 GB
- Estimated tok/s
- ~28.2
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Every GPT-OSS 20B quantization on NVIDIA GeForce RTX 4070 Ti
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_MBest fit | 10 GB | 11.5 GB | 13 GB | 8K / 8K | Partial GPU | ~28.2 |
| Q5_K_M | 12.5 GB | 14.4 GB | 16.3 GB | 8K / 8K | Hybrid CPU+GPU | ~12 |
| Q8_0 | 20 GB | 23 GB | 26 GB | 8K / 8K | Hybrid CPU+GPU | ~8 |
| FP16 | 40 GB | 46 GB | 52 GB | 8K / 8K | Hybrid CPU+GPU | ~4 |
NVIDIA GeForce RTX 4070 Ti is solid pick for GPT-OSS 20B
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