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| library_name: transformers |
| tags: [] |
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| # Model Card for Model ID |
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| Llama model finetuned to generate mysterious responses |
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| ## Model Details |
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| ### Model Description |
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| <!-- Provide a longer summary of what this model is. --> |
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| This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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| - **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 |
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| ### Model Sources [optional] |
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| <!-- Provide the basic links for the model. --> |
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| - **Repository:** meta-llama/Llama-3.2-1B-Instruct |
| - **Demo [optional]:** https://colab.research.google.com/drive/1uGwhJ25YM3OGatHzgl67refEMxMWYTX1?usp=sharing |
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| ## Environmental Impact |
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| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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| 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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