QwenQwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4080 Super
RTX 4080 Super runs Qwen 2.5 Coder 32B Instruct at Q3_K_M — 18 tok/s. Usable on 16 GB VRAM — see full quantization options below.
Model Size
32.5B
Device VRAM
16 GB
Bandwidth
736 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4080 Super at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 18 tok/s | 550ms | ✓ Yes | Acceptable | estimated |
Notes
Q3_K_M
16GB VRAM requires Q3 for 32B. Usable for code completion with quality compromise.
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 4080 Super
NVIDIA GeForce RTX 4080 Super has 16 GB at 736 GB/s. Street price: $979.
See all models NVIDIA GeForce RTX 4080 Super can run →Estimate method: Community benchmarks and estimated performance. Reference hardware source: github.com (2026-03-01)
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.