CodeLlama-7B-Python-GGUF
Maintainer: TheBloke
51
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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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CodeLlama-7B-Python-GGUF
Model overview
The CodeLlama-7B-Python-GGUF is a 7 billion parameter AI model created by Meta and maintained by TheBloke. It is a variant of the CodeLlama family of models, designed specifically for Python code generation and understanding tasks. Similar models include the CodeLlama-7B-GGUF, CodeLlama-13B-GGUF, and CodeLlama-34B-GGUF. All of these models leverage the new GGUF format introduced by the llama.cpp team.
Model inputs and outputs
Inputs
- Text prompts for code generation or understanding
Outputs
- Generated Python code
- Responses to natural language prompts about Python programming
Capabilities
The CodeLlama-7B-Python-GGUF model is adept at Python code generation, code understanding, and responding to natural language prompts related to Python programming. It can generate complete code snippets, provide explanations of code, and assist with programming tasks.
What can I use it for?
This model can be used for a variety of Python-focused applications, such as code editors with autocomplete and code generation capabilities, AI programming assistants, and Python learning tools. Developers can integrate the model into their applications using the provided integration guides for llama.cpp, ctransformers, and LangChain.
Things to try
One interesting thing to try with this model is generating solutions to coding challenges or interview questions. Provide the model with a brief description of the problem, and it can generate a working code solution that adheres to the specified constraints. You can then further refine or debug the generated code as needed.
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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