xlite-dev / Awesome-LLM-Inference
📚A curated list of Awesome LLM/VLM Inference Papers with codes: WINT8/4, FlashAttention, PagedAttention, MLA, Parallelism etc.
☆3,876Updated last 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 Serving☆2,693Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,140Updated last week
- 📚Modern CUDA Learn Notes: 200+ Tensor/CUDA Cores Kernels🎉, HGEMM, FA2 via MMA and CuTe, 98~100% TFLOPS of cuBLAS/FA2.☆3,599Updated this week
- A curated list for Efficient Large Language Models☆1,614Updated last week
- My learning notes/codes for ML SYS.☆1,853Updated last week
- Awesome LLM compression research papers and tools.☆1,472Updated last week
- [TMLR 2024] Efficient Large Language Models: A Survey☆1,140Updated 3 weeks ago
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆6,183Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,942Updated last week
- Large Language Model (LLM) Systems Paper List☆1,167Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆3,068Updated last week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,183Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,104Updated 2 weeks ago
- SGLang is a fast serving framework for large language models and vision language models.☆13,368Updated this week
- An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & LoRA & vLLM & RFT)☆6,371Updated this week
- 📰 Must-read papers and blogs on Speculative Decoding ⚡️☆696Updated last week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,503Updated 10 months ago
- TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizati…☆10,294Updated this week
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,049Updated last month
- OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, …☆5,217Updated this week
- An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)☆4,497Updated 2 weeks ago
- A PyTorch native library for large-scale model training☆3,627Updated this week
- how to optimize some algorithm in cuda.☆2,114Updated last week
- verl: Volcano Engine Reinforcement Learning for LLMs☆6,909Updated this week
- Fast inference from large lauguage models via speculative decoding☆714Updated 8 months ago
- 📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥☆1,447Updated last week
- [NeurIPS'24 Spotlight, ICLR'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which r…☆971Updated last week
- O1 Replication Journey☆1,985Updated 3 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,251Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,365Updated this week