Qwen 3 72B
Qwen 3 dense flagship. Reasoning-mode toggle via <think> blocks; same convention as the rest of the Qwen 3 line. Beats Qwen 2.5 72B on reasoning benchmarks at the same parameter count.
Overview
Qwen 3 dense flagship. Reasoning-mode toggle via <think> blocks; same convention as the rest of the Qwen 3 line. Beats Qwen 2.5 72B on reasoning benchmarks at the same parameter count.
Family & lineage
How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.
Strengths
- Reasoning-mode toggle
- Apache 2.0
- Strong long-context (128K)
Weaknesses
- Needs 48GB VRAM at AWQ-INT4 — workstation tier
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| AWQ-INT4 | 42.0 GB | 48 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Qwen 3 72B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Qwen 3 72B?
Can I use Qwen 3 72B commercially?
What's the context length of Qwen 3 72B?
Source: huggingface.co/Qwen/Qwen3-72B
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