🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

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

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

An open toolkit for building and benchmarking general virtual agents in the wild

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

A reading list for large models safety, security, and privacy.

The official implementation for "Retrieval-based Disentangled Representation Learning with Natural Language Supervision".

A curated list for Efficient Large Language Models

The RunPod worker template for serving our large language model endpoints. Powered by vLLM.

Unify Efficient Fine-Tuning of 100+ LLMs

Tiny and simple implementation of multimodal models

たまに追加される論文メモ

ChatGPT clone project that allows you to run an AI-powered chatbot locally

English to Korean Machine Learning Model is a Language model designed to translate English text to Korean as accurately as a traditional human translator. The dataset includes direct phrase translations collected from English to Korean learning textbooks.

Maji-AI is a transformer architecture model trained off of various text data sources designed to assist in writing tasks, and providing instructions on various topics. The language model is designed off of the same premises as llama and chatgpt.

The official gpt4free repository | various collection of powerful language models

Harness LLMs with Multi-Agent Programming

A framework for few-shot evaluation of language models.

JNI wrapper for rwkv.cpp