large-language-models

An unnecessarily tiny implementation of GPT-2 in NumPy.

The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention

Eagle: Frontier Vision-Language Models with Data-Centric Strategies

[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

[KDD'2026] "VideoRAG: Chat with Your Videos"

The Security Toolkit for LLM Interactions

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

Must-read Papers on LLM Agents.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

An open-source visual programming environment for battle-testing prompts to LLMs.

A 13B large language model developed by Baichuan Intelligent Technology

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

The pretty much "official" DSPy framework for Typescript

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

A unified evaluation framework for large language models

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"