# Qwen2

Qwen2 is an AI model released by Qwen on Jun 6 2024. It has 0.5B/1.5B/7B/57B/72B parameters and open weight.

## Facts

| Field | Value |
| --- | --- |
| Model | Qwen2 |
| Developer | Qwen |
| Release date | Thursday, Jun 6 2024 |
| Licensing | Open Weight |
| Parameters | 0.5B/1.5B/7B/57B/72B |

## About Qwen2

Qwen2 was introduced in June 2024 as Alibaba Cloud's next language-model family, spanning compact models, a mixture-of-experts option and the larger 72B tier. The release included base and instruction-tuned checkpoints. Qwen emphasized training on English, Chinese and 27 additional languages, broadening the family's multilingual ambitions beyond its original bilingual focus.

The release also targeted improvements in coding, mathematics and long-context handling. Context limits varied by checkpoint, with the larger instruction models supporting extended inputs under the documented settings. Licensing varied too: most sizes used Apache 2.0, while the 72B models used a Qwen license. Family-level comparisons therefore need the specific model size, tuning and license rather than treating every Qwen2 release as interchangeable.

## Questions and answers

### When was Qwen2 released?

Qwen2 was released by Qwen on Thursday, Jun 6 2024.

### Who made Qwen2?

Qwen2 was built by Qwen. Alibaba's AI lab, building the Qwen family. The most prolific publisher of open-weight models of any major lab, alongside a closed Max and Plus tier sold through Alibaba Cloud.

### How many parameters does Qwen2 have?

Qwen2 is reported at 0.5B/1.5B/7B/57B/72B parameters.

### Is Qwen2 open source?

Partly. Qwen2 is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

### What came before and after Qwen2?

Qwen's previous tracked release was Qwen1.5 on Feb 4 2024, 123 days earlier. It was followed by Qwen2.5 on Sep 19 2024.


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Canonical page: https://aireleasetracker.com/model/qwen/qwen2
Site index: https://aireleasetracker.com/llms.txt
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.