Text Generation
PEFT
Safetensors
English
chemistry
text-generation-inference
atomgpt
superconductors
Instructions to use knc6/atomgpt_mistral_tc_supercon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use knc6/atomgpt_mistral_tc_supercon with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "knc6/atomgpt_mistral_tc_supercon") - Notebooks
- Google Colab
- Kaggle
Fine-tune models for atomic structure generation of superconductor candidate materials
AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design
GitHub: https://github.com/usnistgov/atomgpt
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Framework versions
- PEFT 0.11.1
- Downloads last month
- 64
Model tree for knc6/atomgpt_mistral_tc_supercon
Base model
unsloth/mistral-7b-bnb-4bit