About Qwen 2 7B Instruct
Qwen2 7B is a transformer-based model that excels in language understanding, multilingual capabilities, coding, mathematics, and reasoning. It features SwiGLU activation, attention QKV bias, and group query attention. It is pretrained on extensive data with supervised finetuning and direct preference optimization. For more details, see this [blog post](https://qwenlm.github.io/blog/qwen2/) and [GitHub repo](https://github.com/QwenLM/Qwen2). Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).
Model Specifications
Best For
- Code generation, debugging, code review, refactoring
- Conversations, content writing, general assistance
Consider Alternatives For
- Image understanding (needs vision capability)
This model is completely free!
No token costs - use it without worrying about API bills.
Estimate Token UsageAlibaba Qwen Model Lineup
Compare all models from Alibaba Qwen to find the best fit
| Model | Input | Output | Context | Capabilities |
|---|---|---|---|---|
| Qwen 2 7B Instruct Current | Free | Free | 33k | chat code |
| Qwen2.5-VL 7B Instruct | Free | Free | 33k | chat vision tool_use |
| Qwen3 Embedding 0.6B | Free | Free | 8k | chat code |
| Qwen3 Embedding 0.6B | Free | Free | 8k | chat code |
| Qwen2.5 VL 3B Instruct | Free | Free | 64k | chat vision code |
| Qwen2.5 VL 3B Instruct | Free | Free | 64k | chat vision code |
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