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| --- |
| tags: |
| - tiny-llama |
| - instruction-following |
| - llama3 |
| - original-model |
| --- |
| |
| # Tiny Llama 3.2 Instruct (Original) |
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| This model is the original version of a tiny language model based on the architecture of Llama 3.2-3B-Instruct, created before any distillation or fine-tuning on specific datasets. |
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| ## Model Details |
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| - **Model Name:** tiny-llama3.2-instruct (Original) |
| - **Architecture:** Based on the Llama 3 architecture. |
| - **Parameters:** Approximately 265 million parameters (as configured). |
| - **Language:** English (primarily, as it's based on a pre-trained Llama model). |
| - **Developed By:** [Your Name/Hugging Face Username] |
| - **License:** [The license of the base Llama 3 model - likely Apache 2.0] |
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| ## Intended Use |
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| This model is intended as a small, efficient base for further experimentation, fine-tuning, or distillation. It can potentially be used for general instruction following tasks, although its capabilities may be limited compared to larger models. |
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| ## Training Data |
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| This model was created by [Here, you should describe how you created this tiny model...]. |
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| ## Training Procedure |
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| The model was trained by [Describe the training procedure used to create this tiny model...]. |
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| ## Evaluation |
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| [If you performed any evaluation..., describe the metrics and results here. If not, you can state that no specific evaluation was performed on this base version.] |
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| ## Limitations and Potential Biases |
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| As a smaller model based on the Llama 3 architecture, this model may have limitations... |
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| ## How to Use |
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| You can load and use this model using the `transformers` library... |
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| ## Contact |
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| [Your preferred contact method...] |
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| ## Acknowledgements |
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| This model is based on the Llama 3 architecture developed by Meta AI. |
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