Popular GitHub Repositories for Language Model

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Universal LLM Deployment Engine with ML Compilation

DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and agentic system capability built in.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

An open source implementation of CLIP.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

A framework for few-shot evaluation of language models.

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

a state-of-the-art-level open visual language model | 多模态预训练模型

Google AI 2018 BERT pytorch implementation

GPT 3.5/4 with a Chat Web UI. No API key required.

Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.