Can the AMD Radeon RX 7900 XTX run gpt-oss 20B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The AMD Radeon RX 7900 XTX can run gpt-oss 20B fully in VRAM at Q8_0 (near-lossless), using about 23.2 GB of the 24 GB available, at roughly 151 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts gpt-oss 20B:
ollama run gpt-oss:20bOllama's default download is Q4_K_M (about 13.7 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.
New to this? Step-by-step setup for the Radeon RX 7900 XTX
Run it in the cloud
No AMD Radeon RX 7900 XTX? Run gpt-oss 20B in the cloud.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 24 GB the AMD Radeon RX 7900 XTX can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 42.8 GB | Too big | — | |
| Q8_0 | Near-lossless | 23.2 GB | Fits | ~151 tok/s | |
| Q6_K | Excellent | 18.1 GB | Fits | ~195 tok/s | |
| Q5_K_M | Very good | 15.9 GB | Fits | ~225 tok/s | |
| Q4_K_M | Good, most popular | 13.7 GB | Fits | ~264 tok/s | |
| Q3_K_M | Noticeably degraded | 11.2 GB | Fits | ~327 tok/s | |
| Q2_K | Heavily degraded | 8.8 GB | Fits | ~427 tok/s |
GPUs that run gpt-oss 20B comfortably
Frequently asked questions
Can AMD Radeon RX 7900 XTX run gpt-oss 20B?
Yes. The AMD Radeon RX 7900 XTX can run gpt-oss 20B fully in VRAM at Q8_0 (near-lossless), using about 23.2 GB of the 24 GB available, at roughly 151 tokens/second.
How much VRAM does gpt-oss 20B need?
About 13.7 GB at Q4_K_M with 8,192 tokens of context, and about 42.8 GB at full FP16 precision.
How fast is gpt-oss 20B on the AMD Radeon RX 7900 XTX?
Roughly 151 tokens per second at Q8_0, estimated from the AMD Radeon RX 7900 XTX's 960 GB/s memory bandwidth.