cformers


Namecformers JSON
Version 0.0.4 PyPI version JSON
download
home_page
SummarySoTA Transformers with C-backend for fast inference on your CPU.
upload_time2023-03-31 07:17:53
maintainer
docs_urlNone
authorAyush Kaushal (Ayushk4)
requires_python
license
keywords python local inference c++ inference language models cpu inference quantization
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            We identify three pillers to enable fast inference of SoTA AI models on your CPU:
1. Fast C/C++ LLM inference kernels for CPU.
2. Machine Learning Research & Exploration front - Compression through quantization, sparsification, training on more data, collecting data and training instruction & chat models.
3. Easy to use API for fast AI inference in dynamically typed language like Python.

This project aims to address the third using LLaMa.cpp and GGML.

            

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