Small Language Models Python Packages

effgen

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

small-text

Active Learning for Text Classification in Python

xlm-models

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 LM architectures.

embedding-condensation

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

xlm-core

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 LM architectures.

artifex

Small Language Model Inference, Fine-Tuning and Observability.

distill-anything

Distill any AI model into one you own — a teacher (Claude/GPT/HF/Ollama) generates your dataset, a student trains on its logits or its words, a judge scores it blind, a benchmark prices it. Runs on a MacBook.