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llamat-2 – AI Model by m3rg-iitd | AlphaNeural AI
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safetensors
llama
materials science
large language model
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meta-llama/Llama-2-7b
finetune
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LLaMat-2
is a specialized large language model designed to be a foundational large language model for materials science.
Overview
Model Type:
Large Language Model (LLM)
Base Model:
LLaMat-2 (continued pretraining of LLaMA-3 on material science data)
Language:
English
License:
LLaMA-3 License
Tags:
Material Science, Domain Adaptation, Table Understanding, Scientific Data Parsing, Materials Copilot
Model Details
Key Features
Applications:
Can be finetuned for information extraction, table understanding, parsing data for research tasks, and crystal structure generation.
Development and Support
Developed by:
M3RG, IIT Delhi
&
DAIR, IIT Delhi
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:
8 NVIDIA A100 80GB GPUs
Software Stack
Frameworks:
PyTorch, Hugging Face Transformers
Model Sources
Repository:
LLaMat on GitHub
Compute Resources:
EIDF Cerebras CS Clusters
