ModelTC / LightLLMLinks
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
☆3,845Updated this week
Alternatives and similar repositories for LightLLM
Users that are interested in LightLLM are comparing it to the libraries listed below
Sorting:
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,420Updated 6 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,301Updated 8 months ago
- FlashInfer: Kernel Library for LLM Serving☆4,707Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,694Updated last year
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆7,521Updated this week
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆4,909Updated last month
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,088Updated 6 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,220Updated 5 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,893Updated last year
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,023Updated 9 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,580Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,600Updated this week
- Transformer related optimization, including BERT, GPT☆6,382Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,245Updated last year
- Minimalistic large language model 3D-parallelism training☆2,422Updated last month
- Fast, Flexible and Portable Structured Generation☆1,476Updated last week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,092Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,314Updated 10 months ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,854Updated this week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,590Updated last year
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,174Updated 3 months ago
- The official repo of Pai-Megatron-Patch for LLM & VLM large scale training developed by Alibaba Cloud.☆1,513Updated last month
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆1,021Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆7,896Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,133Updated last week
- LLMPerf is a library for validating and benchmarking LLMs☆1,080Updated last year
- A curated list for Efficient Large Language Models☆1,935Updated 7 months ago
- The Triton TensorRT-LLM Backend☆914Updated last week
- Awesome LLM compression research papers and tools.☆1,759Updated 2 months ago
- slime is an LLM post-training framework for RL Scaling.☆3,330Updated this week