llama-2-coder-7b
Maintainer: mrm8488
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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Model overview
The llama-2-coder-7b model is a 7 billion parameter large language model (LLM) fine-tuned on the CodeAlpaca 20k instructions dataset using the QLoRA method. It is similar to other fine-tuned LLMs like the FalCoder 7B model, which was also fine-tuned on the CodeAlpaca dataset. The llama-2-coder-7b model was developed by mrm8488, a Hugging Face community contributor.
Model inputs and outputs
Inputs
- The
llama-2-coder-7bmodel takes in text prompts as input, typically in the form of instructions or tasks that the model should try to complete.
Outputs
- The model generates text as output, providing a solution or response to the given input prompt. The output is designed to be helpful and informative for coding-related tasks.
Capabilities
The llama-2-coder-7b model has been fine-tuned to excel at following programming-related instructions and generating relevant code solutions. For example, the model can be used to design a class for representing a person in Python, or to solve various coding challenges and exercises.
What can I use it for?
The llama-2-coder-7b model can be a valuable tool for developers, students, and anyone interested in improving their coding skills. It can be used for tasks such as:
- Generating code solutions to programming problems
- Explaining coding concepts and techniques
- Providing code reviews and suggestions for improvement
- Assisting with prototyping and experimenting with new ideas
Things to try
One interesting thing to try with the llama-2-coder-7b model is to provide it with open-ended prompts or challenges and see how it responds. The model's ability to understand and generate relevant code solutions can be quite impressive, and experimenting with different types of inputs can reveal the model's strengths and limitations. Additionally, comparing the llama-2-coder-7b model's performance to other fine-tuned LLMs, such as the FalCoder 7B model, can provide insights into the unique capabilities of each model.
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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