Update README.md

README.md

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 ---
 license: apache-2.0
+base_model: mistralai/Magistral-Small-2506
+language:
+  - en
+  - zh
+library_name: peft
+tags:
+  - chemistry
+  - cheminformatics
+  - information-extraction
+  - lora
+  - not-yet-released
+pipeline_tag: text-generation
 ---
+
+# formulation-record-extractor (placeholder)
+
+A LoRA adapter (to be released) that maps messy chemistry experiment records into a
+structured formulation schema, and supports a tool-using "chemical reasoning"
+Copilot. By [Formulith](https://www.formulith.com).
+
+> 本專案部分研發由**數位發展部數位產業署 115 年 AI 算力平台**支持。
+> Part of this work is supported by the **AI Computing Platform (2026), Administration for Digital Industries, Ministry of Digital Affairs, Taiwan**.
+
+
+## Status
+
+**Weights not yet uploaded.** The adapter will be released after the grant period.
+Until then this card documents intended scope.
+
+## Training data
+
+Public chemistry data + the **synthetic** `Formulith/formulation-records-instruct`
+set only. **No customer data and no proprietary formulations are used to train any
+released model.** Customer-specific tuning, if any, stays private and is never
+published.
+
+## Intended use / limitations
+
+- Use: structure lab records, normalize names/units, draft explanations of
+  optimizer (BO/XAI) outputs for chemists.
+- The model is paired with **RDKit validation** (fingerprints, stoichiometry /
+  atom-conservation) — it must not be relied on for un-validated chemistry.
+- Base model: Magistral Small 2506 (Apache-2.0), open and non-PRC.
+
+## License
+
+Apache-2.0 (adapter). Base model under its own license.