Question 1

Can I run Qwen 2.5 Coder 32B on a NVIDIA GeForce RTX 4090?

Accepted Answer

Yes — NVIDIA GeForce RTX 4090 runs Qwen 2.5 Coder 32B fully on GPU at the Q4_K_M quantization. Full GPU inference — 24 GB VRAM meets the 24 GB recommendation.

Question 2

What quantization of Qwen 2.5 Coder 32B should I use on a NVIDIA GeForce RTX 4090?

Accepted Answer

For 24 GB VRAM on the NVIDIA GeForce RTX 4090, the Q4_K_M variant is the best fit. Estimated ~42.4 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Qwen 2.5 Coder 32B run on NVIDIA GeForce RTX 4090?

Accepted Answer

Roughly 42.4 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if NVIDIA GeForce RTX 4090 is not enough for Qwen 2.5 Coder 32B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_MBest fit	19 GB	21 GB	24 GB	8K / 128K	Full GPU	~42.4
Q8_0	34 GB	36 GB	40 GB	8K / 128K	Hybrid CPU+GPU	~9

Can I Run Qwen 2.5 Coder 32B on NVIDIA GeForce RTX 4090?

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Every Qwen 2.5 Coder 32B quantization on NVIDIA GeForce RTX 4090