There are 0 repository under small-language-models topic.
Active Learning for Text Classification in Python
Running any GGUF SLMs/LLMs locally, on-device in Android
Local LLM Powered Recursive Search & Smart Knowledge Explorer
Survey of Small Language Models from Penn State, ...
Doge Family of Small Language Model
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.
Ollama RAG using SQL Database
Build a Conversational AI System that can answer questions by retrieving the answers from a document.
A lightweight voice companion, optimized for macOS.
Dataset Generation Code for SimpleStories
Kurtis is a fine-tuning, inference and evaluation tool built for SLMs (Small Language Models), such as Huggingface's SmolLM2.
Code for the paper "Deep neural networks and humans both benefit from compositional structure"
A project built Electron + React.js, to dig out the potential of cross platform AI completion.
[KDD 2025] Code for the paper "On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification"
Model Mondays is a weekly livestreamed series on Microsoft Reactor that helps you make informed model choice decisions with timely updates and model deep-dives. Watch live for the content. Join Discord for the discussions.
Content Engine is RAG system that analyzes and compares multiple PDF documents, specifically identifying and highlighting their differences. The system will utilize Retrieval Augmented Generation (RAG) techniques to effectively retrieve, assess, and generate insights from the documents.
PerfectFit is an AI-powered shopping assistant that uses multimodal search to quickly find ideal product matches based on text or image inputs, streamlining the online shopping experience.
A simple Python application that facilitates AI-driven conversations using Ollama.
A modular multi-model AI framework demonstrating advanced techniques in semantic knowledge transfer, context management, and collaborative intelligence across diverse language models.
Leverage Reader-LM's capabilities using LitServe.