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
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library_name: transformers
tags: []
---
# Model Card for Model ID
Llama model finetuned to generate mysterious responses
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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]
<!-- Provide the basic links for the model. -->
- **Repository:** meta-llama/Llama-3.2-1B-Instruct
- **Demo [optional]:** https://colab.research.google.com/drive/1uGwhJ25YM3OGatHzgl67refEMxMWYTX1?usp=sharing
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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