Open weights
Trained locally or on rented GPUs, then pushed to the Hugging Face Hub with a model card and version history.
Labs
Models, in the open.
Some of my model work ships in public: the weights, a quant you can run in one line, and the writeup that says what it does and how it was trained. No API to sign up for. Download it, run it, read the receipts.
Latest release
In training.
The first release is in training. This is where it lands: a short video of it working, the model card, and a quant you can run locally.
How I release
Weights, a quant, and the receipts.
Runnable in one line
A GGUF quant ships alongside, so you run it in Ollama or LM Studio without touching Python.
Honest evaluation
The writeup states the dataset, the method, and the eval, including where the model is weak.
Nothing to sign up for
No hosted endpoint, no key, no rate limit. The artifact is yours to download and run.
Contact
Have something slow?
Send me the problem: what it is, where it runs, and what it costs you in time. I come back with whether it can be made fast, how fast, and what the engagement looks like. You work with me directly, start to finish.
hello@crawdata.aiFrom the mud to models