QwenQwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4090
Yes — RTX 4090 handles Qwen 2.5 Coder 32B Instruct well at Q4_K_M — 25 tok/s. Solid daily-driver performance on 24 GB VRAM.
Model Size
32.5B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4090 at Q4_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 25 tok/s | 350ms | ✓ Yes | Good | estimated |
Notes
Q4_K_M
Q4 fits with 5.6GB headroom. This is the builder sweet spot: good quality, good speed, room for embeddings.
Running concurrently with nomic-embed-text (0.5GB): total ~19GB VRAM, leaving 5GB free. Speed impact negligible.
About Qwen 2.5 Coder 32B Instruct
Qwen 2.5 Coder 32B Instruct (32.5B) is a coding, ai coding, ai building model. The coding model that defines the builder workflow. Matches GPT-4 on HumanEval. This is what Cursor and Continue.dev users run locally when they want to eliminate API dependency. Apache 2.0 license. The cornerstone of the 'Full AI Builder' profile.
View all Qwen 2.5 Coder 32B Instruct hardware options →About NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Estimate method: Community reports for 32B models on 4090. Reference hardware source: github.com (2026-01-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.