.github migrate to l0-test.yml (#2858) Mar 6, 2025 3rdparty Update TensorRT-LLM (#2820) Feb 25, 2025 benchmarks Update TensorRT-LLM (#2849) Mar 4, 2025 cpp Fix .gitmodules (#2852) Mar 4, 2025 docker Update TensorRT-LLM (#2849) ...
$curl-s-Lhttps://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo|\sudotee/etc/yum.repos.d/nvidia-container-toolkit.repo 安装NVIDIA Container Toolkit $ sudo yum install -y nvidia-container-toolkit 检查是否已安装(若已经安装,请直接跳到配置) $ nvidia-ctk 配置docker s...
TensorRT-LLM 开源啦,GitHub地址: https://github.com/NVIDIA/TensorRT-LLMgithub.com/NVIDIA/TensorRT-LLM Key Features TensorRT-LLM contains examples that implement the following features. Multi-head Attention(MHA) Multi-query Attention (MQA) Group-query Attention(GQA) In-flight Batching Paged KV ...
TensorRT-LLM支持Llama 1/ 2、Baichuan(百川智能)、ChatGLM、Falcon、MPT、和Starcoder等市面上高性能类ChatGPT开源模型。 开源地址:https://github.com/NVIDIA/TensorRT-LLM/tree/release/0.5.0 TensorRT-LLM简单介绍 TensorRT-LLM是一个用于编译和优化大语言模型推理的综合库。TensorRT-LLM融合了目前主流优化方法,同...
You can use GitHub issues to report issues with TensorRT-LLM.About TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-...
https://nvidia.github.io/TensorRT-LLM/architecture.html https://www.anyscale.com/blog/continuous-batching-llm-inference 相关链接：[1] TensorRT-LLM https://github.com/NVIDIA/TensorRT-LLM [2] SmoothQuant技术 https://arxiv.org/abs/2211.10438 [3] AWQ https://arxiv.org/abs/2306.00978 [4] ...
RUN git clone https://github.com/NVIDIA/TensorRT-LLM.git --branch v0.7.1 ENTRYPOINT ["sh","-c","jupyter notebook --allow-root --notebook-dir=/root --port=8888 --ip=0.0.0.0 --ServerApp.token=''"] 2.下载模型,本文以 Baichuan2-7B-Base 为例。
https://github.com/NVIDIA/TensorRT-LLM/tree/release/0.5.0 TensorRT-LLM简单介绍 TensorRT-LLM是一个用于编译和优化大语言模型推理的综合库。TensorRT-LLM融合了目前主流优化方法,同时提供了用于定义和构建新模型的直观Python API。 TensorRT-LLM封装了TensorRT的深度学习编译器,并包含最新的优化内核,用于实现FlashAtten...
RUN git clone https://github.com/NVIDIA/TensorRT-LLM.git --branch v0.7.1 ENTRYPOINT ["sh","-c","jupyter notebook --allow-root --notebook-dir=/root --port=8888 --ip=0.0.0.0 --ServerApp.token=''"] 1. 2. 3. 4. 5.
但是TensorRT LLM并不支持开箱即用所有的大型语言模型(原因是每个模型架构是不同的)。但是TensorRT所作的做深度图级优化是支持大多数流行的模型,如Mistral、Llama和Qwen等。具体支持的模型可以参考TensorRT LLM Github官方的列表 TensorRT-LLM的好处 TensorRT LLMpython包允许开发人员在不了解c++或CUDA的情况下以最高性能...