sgl-project / sglang
SGLang is a fast serving framework for large language models and vision language models.
☆5,121Updated this week
Related projects: ⓘ
- Tools for merging pretrained large language models.☆4,501Updated this week
- A Native-PyTorch Library for LLM Fine-tuning☆3,942Updated this week
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆4,184Updated this week
- A framework for few-shot evaluation of language models.☆6,426Updated this week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,326Updated last month
- Go ahead and axolotl questions☆7,554Updated this week
- Large Language Model Text Generation Inference☆8,762Updated this week
- ☆4,006Updated 3 months ago
- To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x com…☆4,435Updated 3 weeks ago
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinks☆6,537Updated 2 months ago
- Robust recipes to align language models with human and AI preferences☆4,481Updated 3 weeks ago
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆2,080Updated this week
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.☆5,506Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆2,292Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆6,029Updated this week
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,698Updated 7 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,333Updated 2 months ago
- Retrieval and Retrieval-augmented LLMs☆6,824Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆1,624Updated this week
- A blazing fast inference solution for text embeddings models☆2,599Updated this week
- A fast inference library for running LLMs locally on modern consumer-class GPUs☆3,484Updated this week
- TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain…☆8,186Updated last week
- The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.☆7,620Updated 4 months ago
- Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines☆6,560Updated this week
- High-speed Large Language Model Serving on PCs with Consumer-grade GPUs☆7,877Updated last week
- An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)☆3,730Updated 3 weeks ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆26,822Updated this week
- Train transformer language models with reinforcement learning.☆9,288Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,206Updated 2 months ago
- LLM training code for Databricks foundation models☆3,964Updated this week