Qwen2.5 14B Instruct at Q4_K_M needs about 11.2 GB; the RTX 4070 Ti has 12 GB: it fits with almost no margin at 8K context. At Q8_0 it does not fit in VRAM.
Q4_K_M · 8K context
The model needs about 11.2 GB (up to 11.8 GB) for 11.6 GB available: it fits, but with almost no margin. Use a shorter context or a smaller quantization if loading fails.
~11.2 GB (10.7 GB–11.8 GB) needed · estimate
Fits entirely in VRAM · 0.4 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 14B Instruct Q8_08K~17.8 GB · 3–6 tok/s estimate | CPU/GPU offload |
|---|---|
| Qwen2.5 14B Instruct Q6_K8K~14.3 GB · 6.5–12 tok/s estimate | CPU/GPU offload |
| Qwen2.5 14B Instruct Q5_K_M8K~12.7 GB · 12–21 tok/s estimate | CPU/GPU offload |
| Qwen2.5 14B Instruct Q4_K_M8K~11.2 GB · 36–48 tok/s estimate | Compatible with limits |
| Qwen2.5 14B Instruct IQ4_XS8K~10.4 GB · 39–53 tok/s estimate | Compatible |
| Qwen2.5 14B Instruct Q3_K_M8K~9.6 GB · 42–58 tok/s estimate | Excellent |
Prices and links follow the market you choose.
12 GB GDDR6X · 504 GB/s · 285 W
Compatible with limitsRuns Qwen2.5 14B Instruct Q4_K_M entirely in memory
No current offer imported for this market: the link opens a marketplace search.
