Qwen 2 Models — Hardware Requirements
6 Qwen 2 models from Alibaba and the community, from the smallest that runs in 0.3 GB of VRAM up to 72.7B parameters. Every row links to full quantization tables and GPU compatibility.
All Qwen 2 Models by Size
| Model | Params | Runs from | Context | Publisher | Quant downloads |
|---|---|---|---|---|---|
| Tiny Qwen2ForCausalLM 2.5 | 2M | 0.3 GB | 33K | ||
| Qwen2 1.5B Instruct | 1.5B | 0.8 GB | 33K | ||
| Qwen2 1.5B | 1.5B | 1.0 GB | 131K | ||
| Qwen2 7B | 7.6B | 3.6 GB | 131K | ||
| Qwen2 57B A14B Instruct | 57.4B | 24.8 GB | 33K | ||
| Qwen2 72B Instruct | 72.7B | 21.0 GB | 33K |
How Qwen 2 Compares — Benchmark Rating
Qwen2 72B Instruct is the highest-rated Qwen 2 model with an overall benchmark rating of 42.9/100 — #39 among 73 open models. The top proprietary model, Claude Fable 5 Max, scores 89.9. Click a model to see its full benchmark breakdown.
Claude Fable 5 Max · proprietary89.9
GPT 5.5 · proprietary89.2
GPT 5.6 Sol · proprietary89.2
Claude Fable 5 · proprietary88.6
Claude Opus 4.8 · proprietary88.1
GLM 5.282.7
Inkling79.2
DeepSeek V4 Pro74.3
Qwen3.6 27B74.0
Frequently Asked Questions
- How much VRAM do I need to run a Qwen 2 model?
- The smallest Qwen 2 model, Tiny Qwen2ForCausalLM 2.5, runs from 0.3 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
- Which Qwen 2 models can I run on a 16 GB GPU?
- 4 of 6 Qwen 2 models fit in 16 GB of VRAM at some quantization, including Qwen2 1.5B Instruct, Qwen2 7B, Tiny Qwen2ForCausalLM 2.5.
- What is the most popular Qwen 2 model to run locally?
- Qwen2 1.5B Instruct is the most downloaded Qwen 2 model in local-friendly quantized formats. It runs from 0.8 GB of VRAM.
- How do Qwen 2 models score on benchmarks?
- Qwen2 72B Instruct leads the family with an overall benchmark rating of 42.9/100, ranking #39 among 73 open models, while the top proprietary model, Claude Fable 5 Max, scores 89.9. See the comparison chart above for the full standings.