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.
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
Rust multiprovider generative AI client (Ollama, OpenAi, Anthropic, Groq, Gemini, Cohere,
This repository is created for the web development project of Custom PDF ChatBot by METIS, IITGN
Improve large language model (LLM) retrieval using dynamic websearch based on blazingly fast query generation from Groq chips ⚡
The chatbot utilizes a conversational retrieval chain to answer user queries based on the content of embedded documents
🦙 A Python module for interacting with the Meta Llama models trained via Replicate's API
An open source framework for building AI-powered apps with familiar code-centric patterns
[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
Tinyllamas🦙 is an Extensible advanced language model framework, inspired by the original Llama model