QwenQwen 2.5 72B Instruct on NVIDIA GeForce RTX 5060 8GB
RTX 5060 8GB cannot run Qwen 2.5 72B Instruct. 8 GB VRAM is insufficient at any quantization level.
Model Size
72.7B
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 72B 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
72B class. Not viable on 8GB. Estimated for rtx-5060-8gb; verify with community benchmarks.
About Qwen 2.5 72B Instruct
Qwen 2.5 72B Instruct (72.7B) is a chat, coding, ai coding, reasoning, multi-purpose model. Top-tier 72B model, competitive with Llama 3.1 70B. Capable at coding and structured output. Requires 48 GB+ VRAM for usable quantizations.
View all Qwen 2.5 72B 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.