Speculative decoding tutorial This tutorial walks you through the set-up steps to launch two models in parallel and the steps to enable speculative decoding within TensorRT-LLM. Download the following model checkpoints from Hugging Face and store them in a directory for easy access through th...
vllm可以通过triton使用in-flight batching：tutorial文档。三、References[1]:How continuous batching enab...
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 parallel...
NVIDIA は、NVIDIA GPU 上の最新の LLMの推論性能を高速化および最適化する TensorRT-LLM の一般提供を発表しました。このオープンソース ライブラリは、現在、/NVIDIA/TensorRT-LLMGitHub レポジトリおよびNVIDIA NeMo フレームワークの一部として無料で提供されています。 大規模言語モ...
See the MIG tutorial for more details on how to run TRT-LLM models and Triton with MIG.SchedulingThe scheduler policy helps the batch manager adjust how requests are scheduled for execution. There are two scheduler policies supported in TensorRT-LLM, MAX_UTILIZATION and GUARANTEED_NO_EVICT. See...
Notice: to enable streaming, you should set decoupled to true for triton_model_repo/tensorrt_llm/config.pbtxt per the tutorial Remember to include the dependencies when cloning to build the project. git clone --recursive https://github.com/npuichigo/openai_trtllm.git ...
使用TensorRT 时,通常需要将模型转换为 ONNX 格式,再将 ONNX 转换为 TensorRT 格式,然后在 TensorRT、Triton Server 中进行推理。 1. TensorRT-LLM 编译模型 1.1 TensorRT-LLM 简介 使用TensorRT 时,通常需要将模型转换为 ONNX 格式,再将 ONNX 转换为 TensorRT 格式,然后在 TensorRT、Triton Server 中进行推理。
vllm可以通过triton使用in-flight batching：tutorial文档。三、References [1]:How continuous batching ...
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...
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 and Llama 2 7B as the base models, as well as several LoRA-tuned variants available on Hugging Face. ...