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Description:

picollmdemo 1.0.0

picoLLM Inference Engine Python 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 up to 98%.
Private; LLM inference runs 100% locally.
Cross-Platform
Runs on CPU and GPU
Free for open-weight models

Compatibility

Python 3.8+
Runs on Linux (x86_64), macOS (arm64, x86_64), Windows (x86_64), and Raspberry Pi (5, 4, and 3).

Installation
pip3 install picollmdemo

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

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_demo_completion --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_demo_completion --help

Chat Demo
To run an instruction-tuned model for chat, run the following in the terminal:
picollm_demo_chat --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_demo_chat --help