Changelog

All notable changes to this repository should be documented in this file.

The format is inspired by Keep a Changelog and semantic versioning principles for documentation releases.

Note: This changelog was added on 2026-05-06. Entries before that date are reconstructed retrospectively from git history; full diff context lives in git log. Future entries are written at the time of the change.

[0.3.0] - 2026-05-06

Updated

• ECOSYSTEM.md extended from 3-pillar to 4-pillar architecture to include the new te-ordinative-algebras-en repository (SA + PA frameworks).
• README.md "Part of a Larger Ecosystem" table updated from three-part to four-part, with row added for te-ordinative-algebras-en.

Added

• CHANGELOG.md (this file).

Notes

• The new repository te-ordinative-algebras-en was published on 2026-05-06 with initial release v1.0.0. It provides the analytical operator-level grammar (SA + PA) that the LoRA training pipeline aims to teach the fine-tuned model to recognise and apply.

[0.2.1] - 2026-04-20

Added

• Ecosystem cross-links between this repository and the other public repositories of the Ordinative Sciences programme.
• Shared ECOSYSTEM.md map.

[0.2.0] - 2026-03-30

Added

• DOI badge linked to Zenodo deposit for the LoRA dataset and training pipeline.

[0.1.2] - 2026-03-29

Added

• Google Colab Jupyter Notebook for Unsloth training (Creato con Colab).
• Colab-ready training notebook for low-resource environments.

[0.1.1] - 2026-03-29

Added

• English translation of TE_instruct.jsonl dataset, with ordinative terminology preserved.

[0.1.0] - 2026-03-28

Added

• Initial commit: dataset and training script for fine-tuning an open-source LLM into a TE-compliant Ordinative Agent.
• dataset/ with JSONL instruction-tuning examples (ChatML format).
• train_lora_unsloth.py — Unsloth-based QLoRA training script.