applyllm: Training and Serving LLMs and SLMs

This repository contains the code for the applyllm python package, which supports loading and training open‑source LLM models such as LLaMA 2, Mixtral 8x7B, and etc. on CUDA and MPS.

Install the package

pip install applyllm

Metadata

Release files for applyllm 0.0.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for applyllm 0.0.10
File	Size	Uploaded
applyllm-0.0.10.tar.gz	24.8 kB	Apr 6, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for applyllm 0.0.10
File	Interpreter	ABI	Platform	Reset
applyllm-0.0.10-py3-none-any.whl 33.5 kB Apr 6, 2026	Python 3	none	any	Details

Total release size: 58.4 kB

Release files / applyllm-0.0.10.tar.gz

Download URL	applyllm-0.0.10.tar.gz
Size	24.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`b39e16e14f8310ef1cf61938a2fdafa22b223feef2760ff46c0df01709064a51`
BLAKE2b-256 checksum How to use checksums	`d21cd9762bede3b4eebba00fb3da8f1245b3b9baa38fc251567b2ca2da347c53`
Upload date	Apr 6, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.13`

Release files / applyllm-0.0.10-py3-none-any.whl

Download URL	applyllm-0.0.10-py3-none-any.whl
Size	33.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`175c02e5c7d0ece268ecf3d37d0aa34c2737a0ffc8e3bb2ea2c0306a062d5833`
BLAKE2b-256 checksum How to use checksums	`c0c0ccf9f50dd5511aa6dd0334a07a4c27bd0e3a0b16200a952049fd7d67a58a`
Upload date	Apr 6, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.13`