CodeLlama-70b-hf
Maintainer: codellama
304
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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 CodeLlama-70b-hf is a large language model developed by codellama that is part of the Code Llama family of models. It is a 70 billion parameter model designed for general code synthesis and understanding. The model comes in various sizes ranging from 7 billion to 70 billion parameters, with different variants tailored for Python, Instruct, and the base general model. The maintainer's profile provides more information about the creator of this model.
Model inputs and outputs
The CodeLlama-70b-hf model takes text as input and generates text as output. It is an auto-regressive language model that uses an optimized transformer architecture.
Inputs
- Text input to the model
Outputs
- Generated text output from the model
Capabilities
The CodeLlama-70b-hf model has capabilities for code completion, infilling, instructions/chat, and is a Python specialist. It can be used for a variety of code synthesis and understanding tasks.
What can I use it for?
The CodeLlama-70b-hf model can be used for commercial and research purposes related to code generation and understanding. The model's capabilities make it useful for projects like code assistants, code generation tools, and other applications that require synthesizing or comprehending code. Developers can fine-tune the model further for their specific use cases.
Things to try
Developers can experiment with using the CodeLlama-70b-hf model for tasks like generating code snippets, auto-completing code, and following programming instructions. The model's size and versatility make it a powerful tool for exploring the boundaries of what large language models can do for code-related applications.
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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