Smolmodels – open-source tool to build ML models using natural language
Hi HN - Marcello and Vaibhav here. We built smolmodels to experiment with using LLMs for ML development. It's a fully open-source library that generates complete model training and inference code from natural language descriptions. It combines graph search with LLM code generation to find a model that gives as good predictions as possible. The core idea is that LLMs are overkill for a lot of predictive tasks. Smolmodels automates the trial-and-error process of finding the right model architecture and training approach, letting you build small, specialised models. You can either provide your…
In plain words
Smolmodels is an open-source library that generates machine learning model code from natural language descriptions. It uses graph search combined with LLM code generation to automatically find efficient model architectures and training approaches for predictive tasks. The tool handles the complete pipeline from data preparation through inference, and can generate synthetic training data based on input/output requirements, allowing developers to experiment with different model designs without large datasets upfront.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN - Marcello and Vaibhav here. We built smolmodels to experiment with using LLMs for ML development. It's a fully open-source library that generates complete model training and inference code from natural language descriptions. It combines graph search with LLM code generation to find a model that gives as good predictions as possible. The core idea is that LLMs are overkill for a lot of predictive tasks. Smolmodels automates the trial-and-error process of finding the right model architecture and training approach, letting you build small, specialised models. You can either provide your own training data or have the library generate synthetic data based on your input/output schema requirements. This lets you quickly experiment with different model designs before investing in data collection. The library handles the full pipeline - from data prep/generation through training to inference code. Everything can be self-hosted and works with major LLM providers. We would love any thoughts/feedback on the project! Repo link: https://github.com/plexe-ai/smolmodels
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