glaive-coder-7b
Maintainer: glaiveai
53
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| Property | Value |
|---|---|
| Run this model | Run 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
The glaive-coder-7b is a 7 billion parameter code model developed by glaiveai that has been trained on a dataset of ~140k programming-related problems and solutions. This model is a fine-tuned version of the CodeLLama-7b model, giving it enhanced capabilities for code-related tasks.
The glaive-coder-7b model is similar to other code-focused models like glaive-function-calling-v1 and CodeShell-7B, which also aim to provide powerful code generation and assistance capabilities. However, the glaive-coder-7b model has been specifically trained on a larger dataset of programming problems, potentially giving it an advantage for certain coding-related tasks.
Model inputs and outputs
Inputs
- Prompts: The model accepts prompts in a specific format, where the instruction is wrapped in
[INST]tags and the user message is provided afterwards.
Outputs
- Code and text responses: The model generates code and text responses based on the provided prompt, with the model's output wrapped in
</s>tags.
Capabilities
The glaive-coder-7b model is capable of both single-instruction following and multi-turn conversations related to coding tasks. It has been trained to serve as a code assistant, helping with a variety of programming-related activities such as code generation, debugging, and task completion.
What can I use it for?
The glaive-coder-7b model can be a valuable tool for developers and programmers, providing assistance with a wide range of coding-related tasks. Some potential use cases include:
- Generating code snippets and solutions for programming challenges
- Helping with code refactoring and optimization
- Assisting with debugging and troubleshooting
- Providing explanations and guidance for programming concepts
The model's Code Models Arena initiative also aims to gather user feedback and preferences to help improve the performance and usefulness of code-focused AI models like the glaive-coder-7b.
Things to try
One interesting aspect of the glaive-coder-7b model is its ability to engage in multi-turn conversations, allowing users to iteratively refine and build upon their coding-related tasks. This could be particularly useful for complex programming problems that require a more interactive and collaborative approach.
Additionally, the model's strong performance on benchmarks like HumanEval and MBPP suggests that it may be a valuable tool for tasks like algorithmic problem-solving and code generation. Developers could explore using the glaive-coder-7b model to generate initial code solutions and then refine them further.
Overall, the glaive-coder-7b model appears to be a capable and versatile tool for programmers and developers, with the potential to streamline various coding-related workflows and tasks.
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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