Tuned Tensor

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Notes from the training loop

Launch notes, workflow changes, and practical walkthroughs of turning raw data into small, evaluated local models — spec, fine-tune, evaluate, ship.

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Jun 24, 20264 min read

Tuned Tensor now supports fine-tuning Qwen/Qwen3-VL-2B-Instruct for OCR and document extraction workflows

Bring image and document-page inputs into a behavior-first fine-tuning workflow that turns visual documents into structured JSON.

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Jun 20, 20264 min read

Fine-tune Qwen 3.5 2B for financial sentiment analysis

A public Hugging Face dataset, a strict JSON behavior spec, one Qwen3.5-2B fine-tune, local smoke tests, and a shipped model card.

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Jun 14, 20263 min read

A new labeling loop for training data

A concrete finance-news labeling pass: 1,000 accepted rows, settled cost, review flow, provenance notes, and the spec bundled with the dataset.

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Jun 8, 20266 min read

Fine-tune Qwen 3.5 2B for email safety triage

A public 10k-row Hugging Face dataset, a strict JSON safety spec, and one Qwen 3.5 2B fine-tune that triages email, flags phishing and spam, and blocks prompt-injection — with the dataset, model, and spec all published.

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Want to learn more?

Explore the documentation to see how behaviour specs, runs, and evaluations work under the hood.