llama-2

There are 50 repositories under llama-2 topic.

  • haotian-liu/LLaVA

    [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

    Language:Python23.5k1601.6k2.6k
  • Chinese-LLaMA-Alpaca

    ymcui/Chinese-LLaMA-Alpaca

    中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

    Language:Python18.9k1827321.9k
  • getumbrel/llama-gpt

    A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!

    Language:TypeScript11k82129710
  • Chinese-LLaMA-Alpaca-2

    ymcui/Chinese-LLaMA-Alpaca-2

    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)

    Language:Python7.2k78392569
  • liltom-eth/llama2-webui

    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.

    Language:Jupyter Notebook2k2446207
  • ymcui/Chinese-LLaMA-Alpaca-3

    中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3

    Language:Python1.9k2181166
  • horseee/LLM-Pruner

    [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.

    Language:Python1.1k1087116
  • kennethleungty/Llama-2-Open-Source-LLM-CPU-Inference

    Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

    Language:Python9671424214
  • zhudotexe/kani

    kani (カニ) is a highly hackable microframework for tool-calling language models. (NLP-OSS @ EMNLP 2023)

    Language:Python59091429
  • longyuewangdcu/Chinese-Llama-2

    improve Llama-2's proficiency in comprehension, generation, and translation of Chinese.

    Language:Python446111327
  • yangjianxin1/Firefly-LLaMA2-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

    Language:Python413111232
  • moritztng/fltr

    Like grep but for natural language questions. Based on Mistral 7B or Mixtral 8x7B.

    Language:Rust385628
  • marklysze/LlamaIndex-RAG-WSL-CUDA

    Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

    Language:Jupyter Notebook1302214
  • R3gm/InsightSolver-Colab

    InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

    Language:Jupyter Notebook1014130
  • nrimsky/LM-exp

    LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces

    Language:Jupyter Notebook911025
  • Abhi5h3k/PrivateDocBot

    📚 Local PDF-Integrated Chat Bot: Secure Conversations and Document Assistance with LLM-Powered Privacy

    Language:Python862519
  • Marker-Inc-Korea/KO-Platypus

    [KO-Platy🥮] Korean-Open-platypus를 활용하여 llama-2-ko를 fine-tuning한 KO-platypus model

    Language:Jupyter Notebook75405
  • marklysze/LangChain-RAG-Linux

    Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

    Language:Jupyter Notebook40202
  • seonglae/llama2gptq

    Chat to LLaMa 2 that also provides responses with reference documents over vector database. Locally available model using GPTQ 4bit quantization.

    Language:Python30180
  • albertstarfield/project-zephyrine

    Introducing Project Zephyrine: Elevating Your Interaction Plug and Play, and Employing GPU Acceleration within a Modernized Automata Local Graphical User Interface.

    Language:JavaScript19291
  • balavenkatesh3322/guardrails-demo

    LLM Security Project with Llama Guard

    Language:Python10200
  • ksm26/Prompt-Engineering-with-Llama-2

    The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.

    Language:Jupyter Notebook101012
  • marklysze/LlamaIndex-RAG-Linux-CUDA

    Examples of RAG using Llamaindex with local LLMs in Linux - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

    Language:Jupyter Notebook10114
  • TinToSer/GPT4Docs

    An Offline Document Enquiry LLM for Everyone

    Language:Python10214
  • ksm26/Reinforcement-Learning-from-Human-Feedback

    Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.

    Language:Jupyter Notebook9109
  • AlinaMustaqeem/open-LLM

    Kickstart with LLMs

    Language:Jupyter Notebook4101
  • Hashmat02/Fine-Tuning-LLaMA-2-for-Toxicity-Classification

    Fine-tuning LLaMA 2 for toxicity classification using a balanced Kaggle dataset, with a focus on overcoming class imbalance, optimizing computational efficiency through PEFT and QLORA, and achieving high accuracy in detecting toxic content across multiple classes

    Language:Jupyter Notebook3100
  • nsrinidhibhat/fine-tune-llama-2

    This project streamlines the fine-tuning process, enabling you to leverage Llama-2's capabilities for your own projects.

    Language:Python3110
  • saadkh1/DocQA-TextSummarization-App

    A Streamlit app for document question answering and text summarization.

    Language:Jupyter Notebook3113
  • mimireyburn/TheOnion

    MLX Institute | Fine-tuning Llama-2 7B on The Onion to generate new satirical articles given a headline

    Language:Python2000
  • navneet1083/llm-usecases

    Discussed about 4 use-cases or case studies. Discussed about the approaches and significance of these use-cases as these are different from others. There are several approaches available which can be done using LLM but here the approaches and it's significance could bring insightful approaches towards it's execution.

    Language:HTML2100
  • llm-dev

    skywing/llm-dev

    The common setup to run LLM locally. Use llama-cpp to quantize model, Langchain for setup model, prompts, RAG, and Gradio for UI.

    Language:Jupyter Notebook2100
  • tonoy30/Llama

    Llama-2 on apple mac using gpu

    Language:Jupyter Notebook210
  • aman-17/MediSOAP

    FineTuning LLMs on conversational medical dataset.

    Language:Jupyter Notebook110
  • imen-ayadi/Smart-Box

    AI-powered email management system that automates email categorization, sentiment analysis, summarization, and response generation using NLP models and machine learning, enhancing communication efficiency.

    Language:Python1100
  • s-araromi/My-SageMaker-IT-Domain-Expert-Project

    This project demonstrates how to fine-tune a large language model (LLM) for the IT domain using Amazon SageMaker, creating an "IT Domain Expert" model.

    Language:Jupyter Notebook1100