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@picovoice/picollm-node-demo

v1.2.2

Published

Picovoice PicoLLM Node.js chat and completion demos

Downloads

154

Readme

picoLLM Inference Engine Node.js Demos

Made in Vancouver, Canada by Picovoice

picoLLM Inference Engine

picoLLM Inference Engine is a highly accurate and cross-platform SDK optimized for running compressed large language models. picoLLM Inference Engine is:

  • Accurate; picoLLM Compression improves GPTQ by significant margins
  • Private; LLM inference runs 100% locally.
  • Cross-Platform
  • Runs on CPU and GPU
  • Free for open-weight models

Compatibility

  • Node.js 16+
  • Runs on Linux (x86_64), macOS (arm64, x86_64), Windows (x86_64), and Raspberry Pi (5 and 4).

Installation

Using Yarn:

yarn global add @picovoice/picollm-node-demo

or using npm:

npm install --save @picovoice/picollm-node-demo

Models

picoLLM Inference Engine supports the following open-weight models. The models are on Picovoice Console.

  • Gemma
    • gemma-2b
    • gemma-2b-it
    • gemma-7b
    • gemma-7b-it
  • Llama-2
    • llama-2-7b
    • llama-2-7b-chat
    • llama-2-13b
    • llama-2-13b-chat
    • llama-2-70b
    • llama-2-70b-chat
  • Llama-3
    • llama-3-8b
    • llama-3-8b-instruct
    • llama-3-70b
    • llama-3-70b-instruct
  • Llama-3.2
    • llama3.2-1b-instruct
    • llama3.2-3b-instruct
  • Mistral
    • mistral-7b-v0.1
    • mistral-7b-instruct-v0.1
    • mistral-7b-instruct-v0.2
  • Mixtral
    • mixtral-8x7b-v0.1
    • mixtral-8x7b-instruct-v0.1
  • Phi-2
    • phi2

AccessKey

AccessKey is your authentication and authorization token for deploying Picovoice SDKs, including picoLLM. Anyone who is using Picovoice needs to have a valid AccessKey. You must keep your AccessKey secret. You would need internet connectivity to validate your AccessKey with Picovoice license servers even though the LLM inference is running 100% offline and completely free for open-weight models. Everyone who signs up for Picovoice Console receives a unique AccessKey.

Usage

There are two demos available: completion and chat. The completion demo accepts a prompt and a set of optional parameters and generates a single completion. It can run all models, whether instruction-tuned or not. The chat demo can run instruction-tuned (chat) models such as llama-3-8b-instruct, phi2, etc. The chat demo enables a back-and-forth conversation with the LLM, similar to ChatGPT.

Completion Demo

Run the demo by entering the following in the terminal:

picollm-completion-demo --access_key ${ACCESS_KEY} --model_path ${MODEL_PATH} --prompt ${PROMPT}

Replace ${ACCESS_KEY} with yours obtained from Picovoice Console, ${MODEL_PATH} with the path to a model file downloaded from Picovoice Console, and ${PROMPT} with a prompt string.

To get information about all the available options in the demo, run the following:

picollm-completion-demo --help

Chat Demo

To run an instruction-tuned model for chat, run the following in the terminal:

picollm-chat-demo --access_key ${ACCESS_KEY} --model_path ${MODEL_PATH}

Replace ${ACCESS_KEY} with yours obtained from Picovoice Console and ${MODEL_PATH} with the path to a model file downloaded from Picovoice Console.

To get information about all the available options in the demo, run the following:

picollm-chat-demo --help