Unofficial python bindings for the rust llm library. 🐍❤️🦀

Last update: May 20, 2023

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Overview

llm-rs-python: Python Bindings for Rust's llm Library

Welcome to llm-rs, an unofficial Python interface for the Rust-based llm library, made possible through PyO3. Our package combines the convenience of Python with the performance of Rust to offer an efficient tool for your machine learning projects. 🐍 ❤️ 🦀

With llm-rs, you can operate a variety of Large Language Models (LLMs) including LLama and GPT-NeoX directly on your CPU.

For a detailed overview of all the supported architectures, visit the llm project page.

Installation

Simply install it via pip: pip install llm-rs

Usage

The package is type-hinted for easy usage.

A Llama model can be run like this:

from llm_rs import Llama

#load the model
model = Llama("path/to/model.bin")

#generate
print(model.generate("The meaning of life is"))

Documentation

For in-depth information on customizing the loading and generation processes, refer to our detailed documentation.

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Releases(0.2.1)

0.2.1(May 19, 2023)

The ability to quantize models is now available for every architecture via quantize.
Source code(tar.gz)
Source code(zip)
0.2.0(May 19, 2023)
Added support for Mosaic ML's MPT models.

Added support for LoRA adapters for all architectures.

⚠️Caution⚠️ Due to changes in the ggml format old quantized models are not supported anymore!
Source code(tar.gz)
Source code(zip)
0.1.1(May 8, 2023)

Added the tokenize and decode functions to each model, to enable access to the internal tokenizer.

The generation of tokens is now GIL free, meaning other background threads can run at the same time.
Source code(tar.gz)
Source code(zip)
0.1.0(May 3, 2023)
Since llama-rs was renamed to llm and now supports multiple model architectures, this wrapper was also expanded to support the new trait system and library structure.

Supported architectures for now:

Llama

GPT2

GPTJ

GPT-NeoX

Bloom

The loader was also reworked and now supports the mmap-able ggjt. To support this the SessionConfig was expandend with the prefer_mmap field.
Source code(tar.gz)
Source code(zip)
0.0.2(Apr 19, 2023)

Source code(tar.gz)
Source code(zip)
0.0.1(Apr 18, 2023)

Source code(tar.gz)
Source code(zip)