Tighten model card for project stage

README.md

@@ -1,3 +1,79 @@
 ---
-license: cc-by-nc-4.0
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- water-treatment
+- drinking-water
+- critical-infrastructure
+- gemma
+- fine-tuning
 ---
+
+# PotableLM
+
+## Model Summary
+
+PotableLM is a planned domain-adapted model family for drinking water treatment operations, built on the [Potable Dataset](https://huggingface.co/datasets/boxwrench/potable) — an expert-curated corpus of operational water treatment knowledge.
+
+Two tracks are planned: a municipal track for licensed plant operators (on-premises deployable) and a developing regions track for community water workers (offline-capable, fully open).
+
+No model weights have been released yet. This page establishes the project's intended scope while development continues.
+
+## Intended Use
+
+The model is intended as a technical assistant for:
+
+- licensed operators
+- utility staff
+- trainers and technical reviewers
+- researchers evaluating domain adaptation in critical infrastructure
+
+Primary target behaviors:
+
+- practical operational reasoning
+- troubleshooting support
+- calculation walkthroughs
+- technically grounded explanations in operator voice
+
+## Out-of-Scope Use
+
+- direct control of treatment processes
+- fully autonomous safety-critical decision-making
+- compliance interpretation without human review
+- replacement for plant procedures, regulations, or licensed judgment
+
+## Base Model
+
+Base model selection is ongoing. The project prioritizes permissive licensing, local deployment potential, and strong fine-tuning characteristics.
+
+## Training Data
+
+The model will be trained on the [Potable Dataset](https://huggingface.co/datasets/boxwrench/potable), an expert-curated corpus covering treatment process knowledge, plant operations, troubleshooting, calculations, and regulatory context. Every example is authored or reviewed by a licensed operator.
+
+## Training Procedure
+
+Training procedure will be documented with the first checkpoint release.
+
+## Evaluation
+
+No benchmark results are published yet. Evaluation details will accompany each released checkpoint.
+
+## Risks and Limitations
+
+- Water treatment advice is context-dependent and should not be generalized blindly across plants.
+- Model outputs can be plausible and still wrong.
+- The model must be treated as an assistant, not an authority.
+- Current and local regulations always override model output.
+
+## License
+
+License will be specified with each released checkpoint.
+
+## Contact
+
+Keith Wilkinson
+Operational Inference — [operationalinference.com](https://operationalinference.com)
+GitHub: [boxwrench](https://github.com/boxwrench)
+Writing: [title22.org](https://title22.org)