LM Data Tools launches synthetic data suite
LM Data Tools is an open-source FastAPI suite for generating training data for LLM fine-tuning. It covers Q&A pairs, conversations, persona rewrites, reasoning traces, long-form documents, and dataset mixing, with support for hosted and local models like OpenAI, Hugging Face, LM Studio, and Ollama.
This is the kind of unglamorous plumbing that becomes valuable once teams need repeatable synthetic data pipelines instead of one-off scripts.
- –The FastAPI UI and background job handling make the workflow accessible beyond power users who live in the terminal.
- –The toolset is broad enough to cover most pre-finetuning workflows, from source scraping to multi-round conversation generation.
- –Local-model support is the standout detail for privacy-sensitive teams or anyone building offline.
- –The repo still looks early-stage, with 0 stars and no published releases, so the real test will be how stable the prompts, jobs, and outputs are in practice.
TAGS: lm-data-tools, data-tools, fine-tuning, llm, open-source, mlops
DISCOVERED
64d ago
2026-03-25
PUBLISHED
64d ago
2026-03-25
RELEVANCE
AUTHOR
theprint