A coding agent optimized to smaller LLMs

Running any GGUF SLMs/LLMs locally, on-device in Android

Active Learning for Text Classification in Python

Local LLM Powered Recursive Search & Smart Knowledge Explorer

Survey of Small Language Models from Penn State, ...

Doge Family of Small Language Models

[ICML 2026] effGen: Enabling Small Language Models as Capable Autonomous Agents

"Generative AI in Action" book's code repository

Small Language Model Inference, Fine-Tuning and Observability.

[𝗜𝗖𝗠𝗟 𝟮𝟬𝟮𝟲] Dispersion loss counteracts embedding condensation and improves generalization in small language models

Wonderful Matrices to Build Small Language Models

This Repository provides a Jupyter Notebook for building a small language model from scratch using 'TinyStories' dataset. Covers data preprocessing, BPE tokenization, binary storage, GPU memory management, and training a Transformer in PyTorch. Generate sample stories to test your model. Ideal for learning NLP and PyTorch.

Repository for the companion Colab notebook of the Domain-Specific Small Language Models book.

Remma-O1: An open-source Language Model with 1.17B Params, built on pytorch from scratch. Work in Progress!!! Open for collaboration.

SQL AI Agent - Talk to your DB in Natural Language

XLM is a modular, research-friendly framework for developing and comparing non-autoregressive language models. Built on PyTorch and PyTorch Lightning, with Hydra for configuration management, XLM makes it effortless to experiment with cutting-edge NAR architectures.

A governed local AI build-and-memory system that trains small brains, compares them, protects the better one, archives the worse one, and preserves the evidence of why. v1.0.0-governed.

Dataset Generation Code for SimpleStories

Ollama RAG using SQL Database

Run IBM Granite 4.0 locally on Raspberry Pi 5 with Ollama.This is a privacy-first AI. Your data never leaves your device because it runs 100% locally. There are no cloud uploads and no third-party tracking.