large-language-models

LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner.

[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"

A flexible, adaptive classification system for dynamic text classification

An open collection of methodologies to help with successful training of large language models.

CVPR 2024: Language Guided Generation of 3D Embodied AI Environments.

Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA, BLIP-2, and many more!

Large Language & Foundation Models for Time Series.

Java version of LangChain, while empowering LLM for Big Data.

🤖 A prototype assistant for writing and thinking

Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

Deliver safe & effective language models

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

Repository for the paper "Large Language Model-Based Agents for Software Engineering: A Survey". Keep updating.

[EMNLP'25 findings] An easy-to-use Graph RAG system using hierarchical knowledge.

[ICLR 2026] A Framework for LLM-based Multi-Agent Reinforced Training and Inference

🔥🔥🔥 A curated list of papers on LLMs-based multimodal generation (image, video, 3D and audio).

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

Universal LLM Gateway: One API, every LLM. OpenAI/Anthropic-compatible endpoints with multi-provider translation and intelligent load-balancing.

A Curated Collection of resources for applied AI engineering (work in progress).

Dataset and benchmark for RAG on company internal documents.

This is the repo for the survey of LLM4IR.

[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"

MiniMax M2.1, a SOTA model for real-world dev & agents.

🏗️ Fine-tune, build, and deploy open-source LLMs easily!

A curated collection of papers and resources on On-Policy Distillation for Large Language Models.

Crosslingual Generalization through Multitask Finetuning

[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

[NeurIPS 2025 Spotlight] A Unified Tokenizer for Visual Generation and Understanding