Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

算法竞赛模板库 by 灵茶山艾府 💭💡🎈

Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"

Kernels, of the mega variety :)

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of…

official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and Alternatives

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

Awesome-Long2short-on-LRMs is a collection of state-of-the-art, novel, exciting long2short methods on large reasoning models. It contains papers, codes, datasets, evaluations, and analyses.

Code and example data for the paper: Rule Based Rewards for Language Model Safety

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL

A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks …

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

Democratizing Reinforcement Learning for LLMs

s1: Simple test-time scaling

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

📰 Must-read papers and blogs on Speculative Decoding ⚡️

A highly optimized LLM inference acceleration engine for Llama and its variants.

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

High-speed Large Language Model Serving for Local Deployment

📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

✨✨[NeurIPS 2025] VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).

Instructions on how to use the Realtime API on Microcontrollers and Embedded Platforms

Aidan Bench attempts to measure <big_model_smell> in LLMs.