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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.