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license: llama3 |
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language: |
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- en |
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base_model: |
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- m3rg-iitd/llamat-3 |
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tags: |
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- crystal structure generation |
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- CIF understanding |
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--- |
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# Model Card for LLaMat-3-CIF |
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**LLaMat-3-CIF** is a specialized large language model designed to generate and extract information from Crystallographic Information Files. |
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The model is developed after continued pretraining of **LLaMat-3** on 7M instruction-output pairs obtained using CIFs from Materials Project, Google GNoME, and AMCSD |
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## Overview |
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- **Model Type:** Large Language Model (LLM) |
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- **Base Model:** LLaMat-3 (continued pretraining of LLaMat-3 on CIFs) |
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- **Language:** English |
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- **License:** LLaMA-3 License |
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- **Tags:** Material Science, Domain Adaptation, Crystal Structure Generation |
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## Model Details |
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### Key Features |
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- **Instruction Following Abilities:** Answers questions based on CIF files. |
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- **Applications:** Crystal structure generation |
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### Development and Support |
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- **Developed by:** [M3RG, IIT Delhi](https://github.com/M3RG-IITD/) & [DAIR, IIT Delhi](https://github.com/dair-iitd) |
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- **Compute Support:** |
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- **Edinburgh International Data Facility (EIDF):** Provided access to Cerebras CS2 clusters for pretraining. |
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- **IIT Delhi High-Performance Computing Cluster:** Supported fine-tuning and inference stages. |
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## Technical Specifications |
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### Hardware Infrastructure |
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- **Pretraining:** 2 Cerebras CS-2 Wafer-Scale Engines (WSE-2) |
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- **Finetuning:** 2 Cerebras CS-2 Wafer-Scale Engines (WSE-2) |
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- **Inferencing:** 1 NVIDIA A100 80GB GPU |
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### Software Stack |
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- **Frameworks:** PyTorch, Hugging Face Transformers |
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## Model Sources |
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- **Repository:** [LLaMat on GitHub](https://github.com/M3RG-IITD/llamat) |
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- **Compute Resources:** [EIDF Cerebras CS Clusters](https://edinburgh-international-data-facility.ed.ac.uk/services/computing/cerebras-cs) |
