Create README.md

README.md

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+---
+license: gemma
+language:
+- or
+- en
+---
+
+# odia-gemma-2b-base (Pre-trained)
+
+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.
+
+For more details about the model, data, training procedure, and evaluations, go through the blog [post]().
+
+## Model Description
+* Model type: A 2B pre-trained decoder-only model
+* Primary Language(s): Odia and English 
+* License: Gemma Terms of Use
+ 
+**NOTE**
+
+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. 
+It is recommended to first fine-tune it on the task(s) you are interested in.
+
+
+### Citation Information
+
+If you find this model useful, please consider giving 👏 and citing:
+
+```
+@misc{odia-gemma-2b-base,
+  author = {Sambit Sekhar and Shantipriya Parida and Debasish Dhal},
+  title = {OdiaGenAI Introduces Gemma 2B Pre-Trained LLM Catered to Odia Speakers},
+  year = {2024},
+  publisher = {Hugging Face},
+  journal = {Hugging Face repository},
+  howpublished = {\url{https://huggingface.co/OdiaGenAI}},
+}
+```
+
+### Contributions
+
+- Sambit Sekhar
+- Shantipriya Parida
+- Debasish Dhal