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--- |
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license: apache-2.0 |
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library_name: peft |
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base_model: Qwen/Qwen1.5-7B |
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model-index: |
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- name: qwen_1.5_odia_7b |
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results: [] |
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--- |
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# qwen_1.5_odia_7b (Pre-trained) |
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Qwen_1.5_Odia_7B is a pre-trained Odia large language model with 7 billion parameters, and it is based on Qwen 1.5-7B. 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](https://www.odiagenai.org/blog/odiagenai-released-odia-pre-trained-llm-based-on-qwen). |
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## Model Description |
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* Model type: A 7B pre-trained decoder-only model |
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* Primary Language(s): Odia and English |
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* License: Apache-2.0 (Commercial) |
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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{Qwen1.5_odia_7b, |
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author = {Sambit Sekhar and Shantipriya Parida and Debasish Dhal}, |
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title = {Introducing OdiaGenAI's Qwen-Based Pre-trained LLM for Odia Language}, |
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year = {2023}, |
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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 |
