Can I run it?
Can I run gpt oss 20b on Radeon RX 9070 XT?
Tight fit
Tight fit fully on your Radeon RX 9070 XT at UD-Q8_K_XL, 8K context, about 87–119 tok/s. Weights 12.3 GB plus 0.19 GB of KV cache — 12.9 GB of 14.7 GB usable. Up to 64K context still fits.
Best quantUD-Q8_K_XL
Working context8K
Max that fits64K
Speed87–119 tok/s
Weights12.3 GB
KV cache0.19 GB
Total12.9 GB
Usable14.7 GB
gpt oss 20b details · Radeon RX 9070 XT page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/gpt-oss-20b-GGUF:UD-Q8_K_XL -c 8192 -ngl 24
No matching name in the Ollama library snapshot.
LM Studio
lms get unsloth/gpt-oss-20b-GGUF # Then load quant UD-Q8_K_XL
Assumptions
- Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
- KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
- UD-Q8_K_XL size is the real GGUF file size from Hugging Face.
- 0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
- Speed is quoted at 8K context, not at the maximum context that still fits.
Larger models that also fit
- Can I run Qwen3.8 27B on Radeon RX 9070 XT? — Tight fit, UD-IQ4_XS, 24–32 tok/s
- Can I run Qwen3.6 35B A3B on Radeon RX 9070 XT? — Tight fit, UD-IQ3_S, 260–355 tok/s
- Can I run Qwen3.8 35B A3B Distill on Radeon RX 9070 XT? — Tight fit, Q2_K, 263–359 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.