Can I run it?
Can I run Qwen2.5 14B Instruct on GeForce RTX 3070?
Tight fit
Tight fit fully on your GeForce RTX 3070 at Q3_K_S, 2K context, about 35–48 tok/s. Weights 6.20 GB plus 0.38 GB of KV cache — 6.94 GB of 7.13 GB usable.
Best quantQ3_K_S
Working context2K
Max that fits2K
Speed35–48 tok/sEstimate from memory bandwidth, not a benchmark. Method.
Weights6.20 GB
KV cache0.38 GB
Total6.94 GB
Usable7.13 GB
Qwen2.5 14B Instruct details · GeForce RTX 3070 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf bartowski/Qwen2.5-14B-Instruct-GGUF:Q3_K_S -c 2048 -ngl 48
Ollama
ollama run qwen2.5
LM Studio
lms get bartowski/Qwen2.5-14B-Instruct-GGUF # Then load quant Q3_K_S
Assumptions
- Estimate from memory bandwidth, not a benchmark. Decode speed uses 55–75% of peak bandwidth.
- 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%.
- Q3_K_S 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 2K context, not at the maximum context that still fits.
Larger models that also fit
- Can I run Qwen3.8 27B on GeForce RTX 3070? — Heavily degraded, UD-IQ1_M, 35–48 tok/s (estimate)
- Mistral Small 3.2 24B Instruct 2506 — Heavily degraded, UD-IQ1_M, 37–50 tok/s (estimate)
- gemma 3 27b it — Heavily degraded, UD-IQ1_S, 35–48 tok/s (estimate)
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.