There are 4 repositories under llama-2 topic.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A
中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support LLaMA, Llama-2, BLOOM, Vicuna, Baichuan, etc.
improve Llama-2's proficiency in comprehension, generation, and translation of Chinese.
Firefly中文LLaMA-2大模型,支持增量预训练Baichuan2、Llama2、Llama、Falcon、Qwen、Baichuan、InternLM、Bloom等大模型
Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.
[KO-Platy🥮] Korean-Open-platypus를 활용하여 llama-2-ko를 fine-tuning한 KO-platypus model
Docker image for LLaVA: Large Language and Vision Assistant
📚 Local PDF-Integrated Chat Bot: Secure Conversations and Document Assistance with LLM-Powered Privacy
Chat to LLaMa 2 that also provides responses with reference documents over vector database. Locally available model using GPTQ 4bit quantization.
Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
Introducing Project Zephyrine: Elevating Your Interaction Plug and Play, and Employing GPU Acceleration within a Modernized Automata Local Graphical User Interface.
Examples of RAG using Llamaindex with local LLMs in Linux - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.
Kickstart with LLMs
LLM Security Project with Llama Guard
This project streamlines the fine-tuning process, enabling you to leverage Llama-2's capabilities for your own projects.
A Streamlit app for document question answering and text summarization.
This project aims to develop an API backend using Flask to support Text Generation Inference with Llama v2 Models
Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.
MLX Institute | Fine-tuning Llama-2 7B on The Onion to generate new satirical articles given a headline
This repository contains the supplementary material / appendix to go with the paper “Is Temperature the Creativity for Large Language Models” by Max Peeperkorn, Tom Kouwenhoven, Dan Brown, and Anna Jordanous.