Text Generation
PEFT
English
Chinese
chemistry
cheminformatics
information-extraction
lora
not-yet-released
Instructions to use Formulith/formulation-record-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Formulith/formulation-record-extractor with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| 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. |