Llama Ecosystem
Llama is an open-source toolkit for training and fine-tuning large language models (LLMs). It provides tools for efficient model development, including data preprocessing, training scripts, and model evaluation. Suitable for research and production, Llama supports various architectures and scales to accommodate different hardware setups.
Keywords
Languages
swift-llm-chat-openai
Interact with OpenAI and OpenAI-compatible chat completion APIs in a simple and elegant way
Hello-Happy-World
AI-powered automatic dataset creation from the web, Support for LoRA and SFT question generation!
open-strawberry
Building open version of OpenAI o1 via reasoning traces (Groq, ollama, Anthropic, Gemini, OpenAI, Azure supported) Demo: https://huggingface
Autonomous-CLI-Agent
Autonomous CLI Agent that uses Local LLM with Ollama to execute tasks in CLI
navamai
Use NavamAI to supercharge your productivity and workflow with personal, fast, and quality AI
Itinerant
A sleek, customizable interface for managing LLMs with responsive design and easy agent personalization
WikiRag
WikiRag is a Retrieval-Augmented Generation (RAG) system designed for question answering, it reduces hallucination thanks to the RAG architecture
confichat
Lightweight, standalone, multi-platform, and privacy focused local LLM chat interface with optional encryption
one-line-llm-tuner
This repository is the source code for fine tuning any LLM in just one line 🔥
