Easy-to-use and powerful LLM and SLM library with awesome model zoo.

Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

Chatbot继续沿着LLM前进，近期更新小参数量SLM的和训练脚本，支持本地训练。新增ChatAgent,实现各种有实际场景价值的Agent实现。

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

This is a user guide for the MiniCPM and MiniCPM-V series of small language models (SLMs) developed by ModelBest. “面壁小钢炮” focuses on achieving exceptional performance on the edge.

Federated Learning for LLMs.

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

MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.

Python package for high-performance spatial light modulator (SLM) control and holography. Supports features from aberration-corrected 3D point clouds to automated Fourier-domain calibrations.

Upload your data → Get a fine-tuned SLM. Free.

A modular, beginner-to-expert guide to fine-tuning both OpenAI GPT models and open-source LLMs/SLMs on Azure - designed for technical and non-technical users alike.

The official implementation of "A Language Modeling Approach to Diacritic-Free Hebrew TTS"

Agentic RAG platform purpose-built for small language models (SLM). Robust PDF/SQL search

slm

SemantiClip is an intelligent video processing application that transforms video content into rich, structured written formats. Built with Microsoft Agent Framework, SemantiClip automates the transcription, segmentation, and content generation process - demonstrating agents orchestration with the use of SLM & LLM.

Experimenting with small language models

A curated list of papers, tools, and resources on Multi-Token Prediction (MTP) and related techniques in Large Language Models (LLMs), Speech-Language Models (SLMs), and more.

Large Language Model Engineering (LLM Engineering) refers to the emerging best-practices and tools for pretraining, post-training, and optimizing LLMs prior to production deployment. Pre- and post-training techniques include unsupervised pretraining, supervised fine-tuning, alignment, model merging, distillation, quantization. and others.

A SLM Toolhead using 3628 Fans and Chube (Formerly Called Jaguar)

InfraMind: Fine-tuning toolkit for training SLMs on Infrastructure-as-Code using GRPO/DAPO. Achieves 97.3% accuracy on IaC generation.

A curated list of small language models (SLMs) that are very good a particular task and have seen real enterprise adoption.

Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval And Synthesis For SLMs

Automatically exported from code.google.com/p/audiotools

This project is designed to be opened in GitHub Codespaces as an easy way for anyone to try out SLMs (small language models) entirely in the browser.

A modular, beginner-to-expert guide to fine-tuning both OpenAI GPT models and open-source LLMs/SLMs on Azure - designed for technical and non-technical users alike.

The project is associated with the recently-launched INTERSPEECH 2025 Workshop on Multilingual Conversational Speech Language Model (MLC-SLM) to provide participants with baseline systems for speech recognition and speaker diarization in multilingual conversational scenario.

This lab is a 1-day/2-day end-to-end SLM workshop led and developed by AI GBB. Attendees will learn how to quickly and easily perform the data preparation-fine tuning-serving-LLMOps series of processes using Azure ML Studio and AI Studio, and will be able to expand the workload based on this.

Zoof is a high-efficiency Small Language Model (SLM) engineered from scratch. It demonstrates how modern architectural choices and high-quality data can yield competitive performance in the sub-400M parameter regime, even with limited compute.

libSLM is a c++ library for generating and transfering to SLM Machine Systems