triton-inference-server / tensorrtllm_backend
The Triton TensorRT-LLM Backend
☆832Updated this week
Alternatives and similar repositories for tensorrtllm_backend:
Users that are interested in tensorrtllm_backend are comparing it to the libraries listed below
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆812Updated 8 months ago
- ☆253Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆805Updated last week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,145Updated this week
- Serving multiple LoRA finetuned LLM as one☆1,058Updated last year
- This repository contains tutorials and examples for Triton Inference Server☆692Updated 3 weeks ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,301Updated this week
- nvidia-modelopt is a unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculat…☆900Updated last week
- FlashInfer: Kernel Library for LLM Serving☆2,788Updated this week
- LLMPerf is a library for validating and benchmarking LLMs☆889Updated 5 months ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,211Updated this week
- Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.☆620Updated last week
- OpenAI compatible API for TensorRT LLM triton backend☆205Updated 9 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,243Updated 2 months ago
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆715Updated 3 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆807Updated this week
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,821Updated last year
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.☆606Updated this week
- Common source, scripts and utilities for creating Triton backends.☆320Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆663Updated 2 months ago
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,009Updated last month
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆299Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,984Updated 3 weeks ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,399Updated 9 months ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆474Updated 2 weeks ago
- ☆411Updated last year
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,005Updated this week
- Easy and Efficient Quantization for Transformers☆197Updated 3 months ago
- Materials for learning SGLang☆406Updated last week
- ☆186Updated 7 months ago