QwenQwen 2.5 Coder 32B Instruct on NVIDIA RTX 4060 Laptop (40-60W)
RTX 4060 Laptop (40-60W) 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
256 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 32B Instruct on NVIDIA RTX 4060 Laptop (40-60W) 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
Does not fit in 8GB laptop VRAM.
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 RTX 4060 Laptop (40-60W)
NVIDIA RTX 4060 Laptop (40-60W) has 8 GB at 256 GB/s. Street price: $0.
See all models NVIDIA RTX 4060 Laptop (40-60W) can run →Estimate method: Community laptop benchmarks and thermal throttle reports. Reference hardware source: reddit.com (2026-03-14)
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.