LLaMA Board

What is LLaMA Board ?

LLaMA Board is a user-friendly interface for fine-tuning large language models like LLaMA. It provides a Gradio UI that simplifies the process of customizing models for specific tasks or domains. With LLaMA Board, users can easily train models to generate detailed and context-specific responses, making it a powerful tool for text generation and customization.

Features

• Text Generation: Turn text into detailed responses with customizable outputs.
• Model Fine-Tuning: Easily fine-tune LLaMA models for specific use cases.
• Prompt Engineering: Craft effective prompts to guide model outputs.
• Customizable Parameters: Adjust settings like temperature and max tokens.
• User-Friendly Interface: Gradio-based UI for seamless interaction.
• Multi-Language Support: Generate and fine-tune models in multiple languages.

How to use LLaMA Board ?

1. Install the Package: Run pip install llama-board to install the tool.
2. Import the Module: Use from llama_board import LLaMABoard in your code.
3. Initialize the Board: Create an instance with llama = LLaMABoard(model_path="path/to/model").
4. Generate Text: Call llama.generate(prompt="your prompt here") to get responses.
5. Fine-Tune the Model: Provide example texts and run llama.fine_tune() to customize the model.

Frequently Asked Questions

What is LLaMA Board used for?
LLaMA Board is used for fine-tuning LLaMA models to generate detailed and specific responses, ideal for custom text generation tasks.

Do I need technical expertise to use LLaMA Board?
No, LLaMA Board is designed to be user-friendly. While some understanding of language models helps, it is accessible to non-experts.

Which languages does LLaMA Board support?
LLaMA Board supports multiple languages, allowing users to generate and fine-tune models in various languages.