Qwen-72B
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
Frequently asked
Quick answers to common questions
How much VRAM does Qwen-72B need?
Qwen-72B with 72.3B parameters needs approximately 42 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is Qwen-72B better than other Qwen models?
Qwen-72B has 72.3B parameters with 32,768 context - a strong choice for general use.
What license is Qwen-72B under?
Qwen-72B is released under the other license, making it suitable for most commercial and personal projects.
What hardware runs Qwen-72B well?
With 72.3B parameters, Qwen-72B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Qwen-72B?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~51 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can Qwen-72B's context window handle?
Qwen-72B supports a 32,768-token context window - enough for most medium-length documents and conversations. Real-world usable context may vary by implementation.
What models compete with Qwen-72B?
Qwen-72B competes with other 36B–108B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec
Similar by size
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