PPL LLM Serving

Overview

ppl.llm.serving is a part of PPL.LLM system.

We recommend users who are new to this project to read the Overview of system.

ppl.llm.serving is a serving based on ppl.nn.llm for various Large Language Models(LLMs). This repository contains a server based on gRPC and inference support for LLaMA.

Prerequisites

• Linux running on x86_64 or arm64 CPUs
• GCC >= 9.4.0
• CMake >= 3.18
• Git >= 2.7.0
• CUDA Toolkit >= 11.4. 11.6 recommended. (for CUDA)

Quick Start

Here is a brief tutorial, refer to LLaMA Guide for more details.

• Installing Prerequisites(on Debian or Ubuntu for example)

  apt-get install build-essential cmake git

• Cloning Source Code

  git clone https://github.com/openppl-public/ppl.llm.serving.git

• Building from Source

  ./build.sh -DPPLNN_USE_LLM_CUDA=ON -DPPLNN_CUDA_ENABLE_NCCL=ON -DPPLNN_ENABLE_CUDA_JIT=OFF -DPPLNN_CUDA_ARCHITECTURES="'80;86;87'" -DPPLCOMMON_CUDA_ARCHITECTURES="'80;86;87'"

  NCCL is required if multiple GPU devices are used.

• Exporting Models

  Refer to ppl.pmx for details.

• Running Server

  ./ppl-build/ppl_llama_server /path/to/server/config.json

  Server config examples can be found in src/models/llama/conf. You are expected to give the correct values before running the server.

  • model_dir: path of models exported by ppl.pmx.
  • model_param_path: params of models. $model_dir/params.json.
  • tokenizer_path: tokenizer files for sentencepiece.

• Running client: send request through gRPC to query the model

  ./ppl-build/client_sample 127.0.0.1:23333

  See tools/client_sample.cc for more details.

• Benchmarking

  ./ppl-build/client_qps_measure 127.0.0.1:23333 /path/to/tokenizer/path tools/samples_1024.json

  See tools/client_qps_measure.cc for more details.

• Running inference offline:

  ./ppl-build/offline_inference /path/to/server/config.json

  See tools/offline_inference.cc for more details.

License

This project is distributed under the Apache License, Version 2.0.