Tight fit
Running Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4090
Qwen 2.5 Coder 32B Instruct fits at Q4_K_M, but headroom is tight (0 GB). Reduce context or use a smaller quant for safety.
Model size
32B params
Qwen 2.5 Coder 32B Instruct →Memory available
Recommended quant
Q4_K_M
Highest quality that fits
Quick start with Ollama
1. Install
ollama pull qwen2.5-coder:32b2. Run
ollama run qwen2.5-coder:32bDefault quant in Ollama is Q4_K_M. To use a different quant, append it: qwen2.5-coder:32b-q5_K_M.
Variants and what fits
| Quantization | File size | VRAM required | Fits on NVIDIA GeForce RTX 4090? |
|---|---|---|---|
| Q4_K_M | 19.0 GB | 24 GB | Yes |
| Q8_0 | 34.0 GB | 40 GB | No |
Real benchmarks
Frequently asked
Can NVIDIA GeForce RTX 4090 run Qwen 2.5 Coder 32B Instruct?
Qwen 2.5 Coder 32B Instruct fits at Q4_K_M, but headroom is tight (0 GB). Reduce context or use a smaller quant for safety.
What quantization should I use?
Q4_K_M is the highest-quality variant of Qwen 2.5 Coder 32B Instruct that fits in 24 GB VRAM. Lower-bit quants will be smaller but lose some quality.
How fast will it be?
Measured at 38.2 tok/s on this combination (community-sourced).
See also: Qwen 2.5 Coder 32B Instruct, NVIDIA GeForce RTX 4090, all benchmarks.
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