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Qwen 2 7B Instruct

qwen/qwen-2-7b-instruct:free

Model weights

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(opens in new tab) and GitHub repo(opens in new tab).

Usage of this model is subject to Tongyi Qianwen LICENSE AGREEMENT(opens in new tab).

Modalities

Price

Free

Context

33K

Released

Jul 16, 2024

Knowledge Cutoff

Jun 2024

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Frequently asked questions

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 and GitHub repo.

Yes. The pricing shown on this page for Qwen 2 7B Instruct is zero, so you are not charged for prompt or completion tokens. Free endpoints are rate limited — see the rate limit docs.

Qwen 2 7B Instruct has a 32,768 token context window.

Qwen3.8 27B, Qwen3.8 2.4T A95B, Qwen3.8 Max and 47 more are other text models from Qwen.

Qwen 2 7B Instruct was released on July 16, 2024. Its knowledge cutoff is June 30, 2024.