CodeQwen1.5-7B
Maintainer: Qwen
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| Property | Value |
|---|---|
| Model Link | View on HuggingFace |
| API Spec | View on HuggingFace |
| Github Link | No Github link provided |
| Paper Link | No paper link provided |
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Model overview
CodeQwen1.5-7B is a transformer-based decoder-only language model developed by Qwen. It is a code-specific version of the Qwen1.5 model, trained on a large corpus of code data to develop strong code generation capabilities. The model supports understanding and generating code in 92 programming languages, and has demonstrated competitive performance on benchmarks like text-to-SQL and bug fixing.
Model inputs and outputs
CodeQwen1.5-7B is a language model designed for code-related tasks. It can take in long-form context of up to 64,000 tokens and generate relevant code or text output. The model supports a wide range of code-related tasks, from code generation to text-to-SQL translation.
Inputs
- Long-form code or text context of up to 64,000 tokens
Outputs
- Generated code or text output relevant to the input
Capabilities
CodeQwen1.5-7B has strong code generation capabilities, allowing it to produce high-quality code in a variety of programming languages. The model also excels at tasks like text-to-SQL translation and bug fixing, demonstrating its versatility in code-related applications.
What can I use it for?
You can use CodeQwen1.5-7B for a variety of code-related projects, such as:
- Generating code from natural language prompts
- Translating text to SQL queries
- Fixing bugs in existing code
- Assisting with code refactoring and optimization
Things to try
One interesting aspect of CodeQwen1.5-7B is its ability to understand and generate code in a wide range of programming languages. This makes it a valuable tool for developers working on cross-language projects or who need to interact with code in multiple languages.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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