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.
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.