NVIDIA / TensorRT-LLMLinks
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
☆12,133Updated this week
Alternatives and similar repositories for TensorRT-LLM
Users that are interested in TensorRT-LLM are comparing it to the libraries listed below
Sorting:
- SGLang is a fast serving framework for large language models and vision language models.☆20,075Updated this week
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆7,265Updated this week
- Transformer related optimization, including BERT, GPT☆6,348Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,340Updated 4 months ago
- Fast and memory-efficient exact attention☆20,541Updated this week
- Large Language Model Text Generation Inference☆10,643Updated last week
- FlashInfer: Kernel Library for LLM Serving☆4,062Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,717Updated this 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…☆2,909Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆7,755Updated this week
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆4,713Updated last week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,988Updated 7 months ago
- PyTorch native post-training library☆5,584Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,269Updated 6 months ago
- A Datacenter Scale Distributed Inference Serving Framework☆5,450Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆63,144Updated this week
- High-speed Large Language Model Serving for Local Deployment☆8,388Updated 3 months ago
- Ongoing research training transformer models at scale☆14,168Updated this week
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinks☆7,122Updated last year
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆12,369Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,660Updated last year
- A PyTorch native platform for training generative AI models☆4,675Updated last week
- Development repository for the Triton language and compiler☆17,529Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,500Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,249Updated last week
- Tensor library for machine learning☆13,532Updated last week
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.☆6,146Updated 2 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,238Updated this week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,164Updated 2 weeks ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,867Updated last year