GTC session: Accelerate Super Long-Context LLM Inference SDK: TensorRT SDK: TensorFlow-TensorRT SDK: FasterTransformer Discuss (3) +16 Like Tags AI Platforms / Deployment | Data Center / Cloud | Generative AI | General | TensorRT-LLM | Intermediate Technical | Tutorial | featured | In...
编译tensorrt-llm首先获取git仓库，因为这个镜像中只有运行需要的lib，模型还是需要自行编译的（因为依赖的...
Check out the Multi-Node Generative AI w/ Triton Server and TensorRT-LLM tutorial for Triton Server and TensorRT-LLM multi-node deployment. Model Parallelism Tensor Parallelism, Pipeline Parallelism and Expert Parallelism Tensor Parallelism, Pipeline Parallelism and Expert paralle...
The Triton TensorRT-LLM Backend. Contribute to triton-inference-server/tensorrtllm_backend development by creating an account on GitHub.
Note that this post uses ready-tuned LLMs from Hugging Face, so there is no need to tune. LoRA inference To optimize a LoRA-tuned LLM with TensorRT-LLM, you must understand its architecture and identify which common base architecture it most closely resembles. This tutorial uses Llama 2 13B...
TingsongYu / PyTorch-Tutorial-2nd Star 3.5k Code Issues Pull requests 《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。 computer-vision pytorch tensorrt ...
cpp应用参考: https://github.com/NVIDIA/TensorRT/blob/main/quickstart/SemanticSegmentation/tutorial-runtime.cpp python应用参考: https://github.com/NVIDIA/TensorRT/blob/main/quickstart/SemanticSegmentation/tutorial-runtime.ipynb
搭建好的模型可以使用TensorRT帮你生成kernel,和小模型走onnx的路子不一样,trt-llm完善了TensorRT-python-api,使其更好用和易于搭建,更灵活一点,不过说实话,相比使用vllm搭建还是稍微难一点。 kernel优化 对于大模型来说,简单对于kernel的优化是不够的。之前小模型的经验,优化模型第一直觉就是优化kernel,但是对于大...
Tutorial on Onnx model modification / TensorRT plugin development 2 240 2024 年2 月 29 日 RuntimeError: [TensorRT-LLM][ERROR] CUDA runtime error in error: peer access is not supported between these two devices 1 937 2024 年2 月 29 日 QAT using pytorch-quantization cause accuracy lo...
docker run--gpus device=0 -v $PWD:/app/tensorrt_llm/models -it --rm hubimage/nvidia-tensorrt-llm:v0.7.1 bash 1. --gpus device=0 表示使用编号为 0 的 GPU 卡,这里的 hubimage/nvidia-tensorrt-llm:v0.7.1 对应的就是 TensorRT-LLM v0.7.1 的 Release 版本。