Fine-tuning large language model with Gradio UI
Interact with a 360M parameter language model
F3-DEMO
Online demo of paper: Chain of Ideas: Revolutionizing Resear
Generate text based on input prompts
Send queries and receive responses using Gemini models
Generate text responses in a chat format
Answer questions about videos using text
A powerful AI chatbot that runs locally in your browser
A powerful AI chatbot that runs locally in your browser
Convert HTML to Markdown
Build customized LLM apps using drag-and-drop
Generate text responses using different models
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.
pip install llama-board to install the tool.from llama_board import LLaMABoard in your code.llama = LLaMABoard(model_path="path/to/model").llama.generate(prompt="your prompt here") to get responses.llama.fine_tune() to customize the model.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.