CodeLlama-34b-hf
Maintainer: codellama
164
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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
CodeLlama-34b-hf is a large language model developed by codellama that is designed for general code synthesis and understanding tasks. It is part of the CodeLlama collection, which ranges in size from 7 billion to 70 billion parameters. The 34 billion parameter version is the base model in the Hugging Face Transformers format. Other similar models in the CodeLlama family include the CodeLlama-70b-hf, which is a larger 70 billion parameter version, as well as variants fine-tuned for Python and instruction following.
Model inputs and outputs
CodeLlama-34b-hf is an autoregressive language model that takes in text as input and generates text as output. It can be used for a variety of code-related tasks such as code completion, infilling, and instruction following.
Inputs
- Text prompts for code generation or understanding
Outputs
- Synthesized code or text responses
Capabilities
CodeLlama-34b-hf is capable of generating high-quality code in response to prompts. It can also be used for tasks like code understanding, code translation, and providing explanations about code. The model has been trained on a large corpus of code and text data, giving it broad knowledge and capabilities.
What can I use it for?
CodeLlama-34b-hf can be used for a variety of applications that involve code generation, understanding, or interaction. Some potential use cases include:
- Building code editing or generation tools to assist developers
- Automating code-related workflows like bug fixing or refactoring
- Generating sample code or documentation for educational purposes
- Integrating code capabilities into chatbots or virtual assistants
Things to try
One interesting aspect of CodeLlama-34b-hf is its ability to handle open-ended prompts and generate relevant, coherent code. You could try providing the model with a high-level description of a task or program you want to build, and see what kind of code it generates to address that need. The model's broad knowledge allows it to draw on a wide range of programming concepts and techniques to come up with creative solutions.
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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