CodeLlama-13B-Instruct-GGUF
Maintainer: TheBloke
108
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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-13B-Instruct-GGUF is a 13-billion parameter large language model created by Meta and maintained by TheBloke. It is designed for general code synthesis and understanding tasks. Similar models in this collection include the CodeLlama-7B-Instruct-GGUF and CodeLlama-34B-Instruct-GGUF, which vary in size and focus.
Model inputs and outputs
The CodeLlama-13B-Instruct-GGUF model takes in text as input and generates new text as output. It is particularly well-suited for code-related tasks like completion, infilling, and instruction following. The model can handle a wide range of programming languages, not just Python.
Inputs
- Text: The model accepts natural language text as input, which it can use to generate new text.
Outputs
- Generated text: The model outputs new text that is coherent, relevant, and tailored to the input prompt.
Capabilities
The CodeLlama-13B-Instruct-GGUF model has impressive capabilities when it comes to code-related tasks. It can take a partially completed code snippet and intelligently generate the missing portions. It can also translate natural language instructions into working code. Additionally, the model demonstrates strong understanding of programming concepts and can explain coding principles in easy-to-understand terms.
What can I use it for?
The CodeLlama-13B-Instruct-GGUF model could be useful for a variety of applications, such as building intelligent code assistants, automating software development workflows, and enhancing programming education. Developers could integrate the model into their IDEs or other tools to boost productivity. Businesses could leverage the model to generate custom software solutions more efficiently. Educators could use the model to provide personalized coding support and feedback to students.
Things to try
One interesting thing to try with the CodeLlama-13B-Instruct-GGUF model is giving it a high-level description of a programming task and seeing the code it generates. For example, you could prompt it to "Write a Python function that calculates the factorial of a given number" and observe the well-structured, syntactically correct code it produces. This demonstrates the model's strong grasp of programming fundamentals and ability to translate natural language into working code.
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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