The Triton TensorRT-LLM Backend. Contribute to triton-inference-server/tensorrtllm_backend development by creating an account on GitHub.
In this example, we will use Triton 24.07 with TensorRT-LLM v0.11.0. Update the TensorRT-LLM submodule git clone -b v0.11.0 https://github.com/triton-inference-server/tensorrtllm_backend.git cd tensorrtllm_backend git submodule update --init --recursive git lfs ins...
The Triton TensorRT-LLM Backend. Contribute to triton-inference-server/tensorrtllm_backend development by creating an account on GitHub.
然后克隆https://github.com/triton-inference-server/tensorrtllm_backend: 执行以下命令: cd tensorrtllm_backend mkdir triton_model_repo # 拷贝出来模板模型文件夹 cp -r all_models/inflight_batcher_llm/* triton_model_repo/ # 将刚才生成好的`/work/trtModel/llama/1-gpu`移动到模板模型文件夹中 cp /...
cd tensorrtllm_backend git config submodule.tensorrt_llm.url https://github.com/NVIDIA/TensorRT-LLM.git git submodule update --init --recursive 2.修改文件 在构建的过程中可能会涉及网络的问题,我这里是修改了下面的几个文件 1)build_wheel.py ...
git clone -b v0.9.0 https://github.com/NVIDIA/TensorRT-LLM.git cd TensorRT-LLM git lfs install # 在加载模型前,需要先将模型格式转为TensorRT-LLM的checkpoint格式 cd examples/llama/ python3 convert_checkpoint.py --model_dir /data/llama-2-7b-ckpt --output_dir llama-2-7b-ckpt-f16 --dtype...
Launch Triton TensorRT-LLM container# Launch Triton docker containernvcr.io/nvidia/tritonserver:<xx.yy>-trtllm-python-py3with TensorRT-LLM backend. Make anenginesfolder outside docker to reuse engines for future runs. Make sure to replace the<xx.yy>with the version of...
git clone https://github.com/triton-inference-server/tensorrtllm_backend 在tensorrtllm_backend项目中tensor_llm目录中拉取TensorRT-LLM项目代码 代码语言:javascript 代码运行次数:0 运行 AI代码解释 git clone https://github.com/NVIDIA/TensorRT-LLM.git ...
首先,设置 TensorRT-LLM 后端: git clone -b v0.11.0 https://github.com/triton-inference-server/tensorrtllm_backend.git cd tensorrtllm_backend cp ../TensorRT-LLM/fp16_mistral_engine/* all_models/inflight_batcher_llm/tensorrt_llm/1/
然后克隆https://github.com/triton-inference-server/tensorrtllm_backend: 执行以下命令: cdtensorrtllm_backend mkdirtriton_model_repo #拷贝出来模板模型文件夹 cp-rall_models/inflight_batcher_llm/*triton_model_repo/ #将刚才生成好的`/work/trtModel/llama/1-gpu`移动到模板模型文件夹中 ...