Active Learning for Text Classification in Python
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Survey of Small Language Models from Penn State, ...
Doge Family of Small Language Models
"Generative AI in Action" book's code repository
Wonderful Matrices to Build Small Language Models
Remma-O1: An open-source Language Model with 1.17B Params, built on pytorch from scratch. Work in Progress!!! Open for collaboration.
A Python library to train task-specific LLMs without training data, for offline NLP and Text Classification tasks, such as Guardrail Models and Intent Classification 🤖🚀
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.
SQL AI Agent - Talk to your DB in Natural Language
Repository for the companion Colab notebook of the Domain-Specific Small Language Models book.
Ollama RAG using SQL Database
Build a Conversational AI System that can answer questions by retrieving the answers from a document.
LeCarnet is a 2 M+ corpus of simple French stories
Dataset Generation Code for SimpleStories
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.
A lightweight voice companion, optimized for macOS.
Federated Fine-Tuning of LLMs on Apple Silicon with Flower.ai and MLX-LM
Kurtis is a fine-tuning, inference and evaluation tool built for SLMs (Small Language Models), such as Huggingface's SmolLM2.
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