jmward01/lmplay
A playground to make it easy to try crazy things
This project offers a development toolkit for AI researchers and practitioners experimenting with large language models (LLMs). It helps you test novel training techniques and model architecture ideas by providing a simple framework to run experiments, compare results against baselines, and quickly iterate. You feed in custom model modifications and training data, and it outputs performance metrics and insights on how your changes affect model training and effectiveness.
Use this if you are an AI/ML researcher or developer focused on exploring and validating experimental training methods or architectural tweaks for transformer-based models on commodity hardware.
Not ideal if you need a stable, production-ready library for deploying large language models or require multi-GPU/multi-process training capabilities.
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33
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1
Language
Python
License
MIT
Category
Last pushed
Feb 13, 2026
Commits (30d)
0
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