Blog & Demos

Tutorials, case studies, benchmarks, and open-source demos — everything you need to build with small language models.

pytest-generator: AI-Powered Unit Test Generation
Demo On-Prem / Edge

pytest-generator: AI-Powered Unit Test Generation

Generate high-quality pytest test cases from Python function signatures and docstrings. Runs entirely on your local machine with zero API costs and complete privacy.

Helping Rocketgraph's customers with an OpenCypher-specialized small language model
Case Study On-Prem / EdgeTool Calling

Helping Rocketgraph's customers with an OpenCypher-specialized small language model

How distil labs partnered with Rocketgraph to finetune a small language model specialized in translating user questions to Rocketgraph-compliant Cypher queries on IBM Power hardware.

Teaching Small Language Models New Skills - Training a Local Cybersecurity Agent
Case Study Agentic AIOn-Prem / Edge

Teaching Small Language Models New Skills - Training a Local Cybersecurity Agent

How distil labs partnered with Octodet to train a small language model that outperforms LLMs 30x its size at analyzing cybersecurity logs, while running entirely on-premises to meet strict privacy requirements.

Vibe-Tuning: The Art of Fine-Tuning Small Language Models with a Prompt
Guide Classification

Vibe-Tuning: The Art of Fine-Tuning Small Language Models with a Prompt

Fine-tuning is a pain – you need datasets, ML expertise, and a stack of GPUs just to get started. Not anymore. With model vibe-tuning, you go from prompt to production-ready model without these headaches. This blog post shows you exactly how to build one, starting with just a prompt.

AI Slop Detector: Catch AI-generated text with a 270M model that runs in your browser
Demo ClassificationOn-Prem / Edge

AI Slop Detector: Catch AI-generated text with a 270M model that runs in your browser

A fine-tuned 270M parameter model that detects AI-generated text entirely in your browser — no API keys, no cloud, no data leakage. Matches 120B teacher accuracy at 400x smaller size.

Train Your SLM with the distil labs Claude Skill
Guide Question Answering

Train Your SLM with the distil labs Claude Skill

A step-by-step walkthrough of training a Text2SQL small language model using the distil labs Claude Code skill, going from raw conversation data to a working local model in a single conversation.

Demo Question AnsweringOn-Prem / Edge

Text2SQL: Natural Language CSV Query Tool

Query your CSV data using natural language questions. A fine-tuned 0.6B parameter model converts questions into SQL queries and executes them locally — no cloud required.

SHELLper: Multi-turn Bash Function Calling Model
Demo Tool CallingOn-Prem / EdgeAgentic AI

SHELLper: Multi-turn Bash Function Calling Model

A fine-tuned 0.6B model that converts natural language into bash commands with 100% multi-turn tool call accuracy. Runs locally with full privacy.

Text2SQirreL 🐿️: Query your data in plain English
Demo Question AnsweringOn-Prem / Edge

Text2SQirreL 🐿️: Query your data in plain English

A fine-tuned small language model that converts plain English questions into executable SQL queries. Runs locally with no API keys, no cloud dependencies, and full privacy — matching the accuracy of a 685B teacher model.