ModelTC / lightllm
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
☆2,613Updated this week
Related projects ⓘ
Alternatives and complementary repositories for lightllm
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,526Updated last month
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,312Updated 4 months ago
- FlashInfer: Kernel Library for LLM Serving☆1,452Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆1,765Updated this week
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆4,669Updated this week
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,755Updated 10 months ago
- SGLang is a fast serving framework for large language models and vision language models.☆6,127Updated this week
- 📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batc…☆2,845Updated this week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆1,904Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆1,941Updated 7 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,149Updated last month
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,893Updated last month
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,257Updated 4 months ago
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆826Updated this week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,497Updated last month
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆2,205Updated this week
- Serving multiple LoRA finetuned LLM as one☆984Updated 6 months ago
- FlexFlow Serve: Low-Latency, High-Performance LLM Serving☆1,713Updated this week
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models☆1,008Updated 10 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆1,979Updated this week
- Awesome LLM compression research papers and tools.☆1,202Updated this week
- A curated list for Efficient Large Language Models☆1,270Updated this week
- An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)☆2,666Updated this week
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,138Updated last month
- Tools for merging pretrained large language models.☆4,816Updated 2 weeks ago
- Fast inference from large lauguage models via speculative decoding☆569Updated 2 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,353Updated 7 months ago
- [NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces in…☆791Updated this week
- A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations☆737Updated last week