DefTruth / Awesome-LLM-Inference
πA curated list of Awesome LLM/VLM Inference Papers with codes: WINT8/4, Flash-Attention, Paged-Attention, Parallelism, etc. ππ
β3,456Updated this week
Alternatives and similar repositories for Awesome-LLM-Inference:
Users that are interested in Awesome-LLM-Inference are comparing it to the libraries listed below
- FlashInfer: Kernel Library for LLM Servingβ2,111Updated this week
- A curated list for Efficient Large Language Modelsβ1,457Updated this week
- π200+ Tensor/CUDA Cores Kernels, β‘οΈflash-attn-mma, β‘οΈhgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 ππ).β2,365Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabiliβ¦β2,911Updated this week
- Awesome LLM compression research papers and tools.β1,377Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Accelerationβ2,760Updated last week
- An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)β4,895Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.β2,591Updated this week
- [TMLR 2024] Efficient Large Language Models: A Surveyβ1,097Updated 2 weeks ago
- Large Language Model (LLM) Systems Paper Listβ780Updated this week
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.β5,630Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Headsβ2,427Updated 7 months ago
- π° Must-read papers and blogs on LLM based Long Context Modeling π₯β1,248Updated this week
- My learning notes/codes for ML SYS.β822Updated this week
- SGLang is a fast serving framework for large language models and vision language models.β10,325Updated this week
- OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, β¦β4,705Updated this week
- A framework for few-shot evaluation of language models.β7,872Updated this week
- Fast inference from large lauguage models via speculative decodingβ661Updated 5 months ago
- how to optimize some algorithm in cuda.β1,906Updated this week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Modelsβ1,341Updated 7 months ago
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)β968Updated this week
- π° Must-read papers and blogs on Speculative Decoding β‘οΈβ597Updated this week
- O1 Replication Journeyβ1,947Updated last month
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decodingβ1,194Updated 4 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:β1,957Updated last month
- Ongoing research training transformer language models at scale, including: BERT & GPT-2β1,990Updated 2 weeks ago
- OpenR: An Open Source Framework for Advanced Reasoning with Large Language Modelsβ1,651Updated last month
- An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)β4,246Updated 3 weeks ago
- Material for gpu-mode lecturesβ3,759Updated last week
- TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that containβ¦β9,468Updated this week