With 16 GB of VRAM, the RX 7900 GRE runs Qwen2.5 7B Instruct at Q4_K_M entirely on the GPU with an 8K context (about 5.9 GB needed). At Q8_0 it fits entirely.
Q4_K_M · 8K context
The model needs about 5.9 GB and fits in the 15.5 GB available, with 9.6 GB to spare.
~5.9 GB (5.5 GB–6.4 GB) needed · estimate
Fits entirely in VRAM · 9.6 GB left
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| Qwen2.5 7B Instruct Q8_08K~9.3 GB · 43–61 tok/s estimate | Excellent |
|---|---|
| Qwen2.5 7B Instruct Q6_K8K~7.5 GB · 53–77 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q5_K_M8K~6.7 GB · 60–87 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q4_K_M8K~5.9 GB · 67–98 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct IQ4_XS8K~5.5 GB · 73–107 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q3_K_M8K~5.1 GB · 79–117 tok/s estimate | Excellent |
Prices and links follow the market you choose.
16 GB GDDR6 · 576 GB/s · 260 W
ExcellentRuns Qwen2.5 7B Instruct Q4_K_M entirely in memory
No current offer imported for this market: the link opens a marketplace search.
