Finetuning Llms Python Packages

mlx-lm-lora

Train Large Language Models on MLX.

modelforge-finetuning

A no-code toolkit to finetune LLMs on your local GPU—just upload data, pick a task, and deploy later. Perfect for hackathons or prototyping, with automatic hardware detection and a guided React interface.

llm-magnet

the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly

macafm

Access Apple's on-device Foundation Models via CLI and OpenAI-compatible API

semantic-qa-gen

A Python library for generating high-quality question-answer pairs from PDF, DOCX, MD, and TXT files

xlmtec

xlmtec is a powerful, modular, and interactive command-line tool for fine-tuning Large Language Models (LLMs). Multiple Techniques: Support for LoRA, QLoRA, and Prompt Tuning. Benchmarking: Built-in evaluation with ROUGE and other metrics.

simplifine-alpha

An easy to use, open-source LLM finetuning library that handles all the complexities of the process for you.

maclocal-ai

Local LLM inference on Apple Silicon

maclocal

'afm' command cli: macOS server and single prompt mode that exposes Apple's Foundation and MLX Models and other APIs running on your Mac through a single aggregated OpenAI-compatible API endpoint. Supports Apple Vision and single command (non-server) inference with piping as well . Now with Web Browser and local AI API aggregator