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--- |
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license: gemma |
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language: |
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- or |
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- en |
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--- |
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# odia-gemma-2b-base (Pre-trained) |
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Odia-Gemma-2B-Base is a pre-trained Odia large language model with 2 billion parameters, and it is based on Google/Gemma 2B. The model is pre-trained on the Culturex-Odia dataset, a filtered version of the original CulturaX dataset for Odia text. The training dataset contains 49 million tokens. The CulturaX-Odia dataset is sourced from mc4 and four distinct OSCAR corpora. |
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For more details about the model, data, training procedure, and evaluations, go through the blog [post](). |
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## Model Description |
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* Model type: A 2B pre-trained decoder-only model |
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* Primary Language(s): Odia and English |
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* License: Gemma Terms of Use |
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**NOTE** |
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This is not an instruction-tuned model, so it may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning. The model has no moderation mechanisms and may generate harmful or inappropriate responses. |
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It is recommended to first fine-tune it on the task(s) you are interested in. |
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### Citation Information |
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If you find this model useful, please consider giving 👏 and citing: |
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``` |
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@misc{odia-gemma-2b-base, |
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author = {Sambit Sekhar and Shantipriya Parida and Debasish Dhal and Guneet Singh Kohli}, |
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title = {OdiaGenAI Introduces Gemma 2B Pre-Trained LLM Catered to Odia Speakers}, |
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year = {2024}, |
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publisher = {Hugging Face}, |
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journal = {Hugging Face repository}, |
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howpublished = {\url{https://huggingface.co/OdiaGenAI}}, |
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} |
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``` |
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### Contributions |
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- Sambit Sekhar |
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- Shantipriya Parida |
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- Debasish Dhal |
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- Guneet Singh Kohli |
