QwenQwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 5060 8GB
RTX 5060 8GB cannot run Qwen 2.5 Coder 32B Instruct. 8 GB VRAM is insufficient at any quantization level.
Model Size
32.5B
Device VRAM
8 GB
Bandwidth
448 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 5060 8GB at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✗ Offload | Not viable | estimated |
Notes
Q2_K
32B coding model. Not viable on 8GB. Estimated for rtx-5060-8gb; verify with community benchmarks.
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 5060 8GB
NVIDIA GeForce RTX 5060 8GB has 8 GB at 448 GB/s. Street price: $299.
See all models NVIDIA GeForce RTX 5060 8GB can run →Estimate method: Estimated from rtx-4060-8gb matrix rows scaled for rtx-5060-8gb memory bandwidth (Ada Gate A methodology). Reference hardware source: nvidia.com (2026-05-26)
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.