Audience

Large language model developers

About Qwen-7B

Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. The features of the Qwen-7B series include:

Trained with high-quality pretraining data. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional domain data.
Strong performance. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc.

And more.

Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

Integrations

API:
Yes, Qwen-7B offers API access

Ratings/Reviews

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Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen-7B

Videos and Screen Captures

Qwen-7B Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Support
Online

Qwen-7B Frequently Asked Questions

Q: What kinds of users and organization types does Qwen-7B work with?
Q: What languages does Qwen-7B support in their product?
Q: What other applications or services does Qwen-7B integrate with?
Q: Does Qwen-7B have an API?
Q: What type of training does Qwen-7B provide?
Q: How much does Qwen-7B cost?

Qwen-7B Product Features

Qwen-7B Additional Categories