Can I run it?

Can I run Qwen3.8 9B Distill on Radeon RX 7900 XTX?

Runs

Runs fully on your Radeon RX 7900 XTX at BF16, 8K context, about 28–39 tok/s. Weights 17.1 GB plus 0.27 GB of KV cache — 17.9 GB of 22.3 GB usable. Up to 128K context still fits.

Qwen3.8 9B Distill details · Radeon RX 7900 XTX page · How this estimate is made

Run commands

llama-server -hf empero-ai/Qwen3.8-9B-Distill-GGUF:BF16 -c 8192 -ngl 32

ollama run qwen3.8

lms get empero-ai/Qwen3.8-9B-Distill-GGUF
# Then load quant BF16

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%.
• BF16 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 7900 XTX? — Tight fit, UD-Q6_K, 23–32 tok/s
• Can I run gemma 4 12b it on Radeon RX 7900 XTX? — Runs, UD-Q8_K_XL, 31–43 tok/s
• Can I run Qwen3.6 35B A3B on Radeon RX 7900 XTX? — Tight fit, UD-Q4_K_XL, 251–342 tok/s

Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.