Instructions to use samiths/test-llama-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samiths/test-llama-1B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samiths/test-llama-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: transformers
tags: []
Model Card for Model ID
Llama model finetuned to generate mysterious responses
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Amith Sourya Sadineni
- Shared by [optional]: Amith Sourya Sadineni
- Model type: Text Generation
- Language(s) (NLP): Python
- License: MIT
- Finetuned from model [optional]: meta-llama/Llama-3.2-1B-Instruct
Model Sources [optional]
- Repository: meta-llama/Llama-3.2-1B-Instruct
- Demo [optional]: https://colab.research.google.com/drive/1uGwhJ25YM3OGatHzgl67refEMxMWYTX1?usp=sharing
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).