---
license: llama3
language:
- en
base_model:
- m3rg-iitd/llamat-3
tags:
- crystal structure generation
- CIF understanding
---
# Model Card for LLaMat-3-CIF

**LLaMat-3-CIF** is a specialized large language model designed to generate and extract information from Crystallographic Information Files. 

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 

---

## Overview

- **Model Type:** Large Language Model (LLM)  
- **Base Model:** LLaMat-3 (continued pretraining of LLaMat-3 on CIFs)  
- **Language:** English  
- **License:** LLaMA-3 License  
- **Tags:** Material Science, Domain Adaptation, Crystal Structure Generation  

---

## Model Details

### Key Features
- **Instruction Following Abilities:** Answers questions based on CIF files.  
- **Applications:** Crystal structure generation  

### Development and Support
- **Developed by:** [M3RG, IIT Delhi](https://github.com/M3RG-IITD/) & [DAIR, IIT Delhi](https://github.com/dair-iitd) 
- **Compute Support:**  
  - **Edinburgh International Data Facility (EIDF):** Provided access to Cerebras CS2 clusters for pretraining.  
  - **IIT Delhi High-Performance Computing Cluster:** Supported fine-tuning and inference stages.  

---

## Technical Specifications

### Hardware Infrastructure
- **Pretraining:** 2 Cerebras CS-2 Wafer-Scale Engines (WSE-2)  
- **Finetuning:** 2 Cerebras CS-2 Wafer-Scale Engines (WSE-2)  
- **Inferencing:** 1 NVIDIA A100 80GB GPU 

### Software Stack
- **Frameworks:** PyTorch, Hugging Face Transformers  

---

## Model Sources
- **Repository:** [LLaMat on GitHub](https://github.com/M3RG-IITD/llamat)  
- **Compute Resources:** [EIDF Cerebras CS Clusters](https://edinburgh-international-data-facility.ed.ac.uk/services/computing/cerebras-cs)