license: apache-2.0
library_name: peft
base_model: Qwen/Qwen1.5-7B
model-index:
- name: qwen_1.5_odia_7b
results: []
qwen_1.5_odia_7b (Pre-trained)
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.
For more details about the model, data, training procedure, and evaluations, go through the blog post.
Model Description
- Model type: A 7B pre-trained decoder-only model
- Primary Language(s): Odia and English
- License: Apache-2.0 (Commercial)
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{Qwen1.5_odia_7b,
author = {Sambit Sekhar and Shantipriya Parida and Debasish Dhal},
title = {Introducing OdiaGenAI's Qwen-Based Pre-trained LLM for Odia Language},
year = {2023},
publisher = {Hugging Face},
journal = {Hugging Face repository},
howpublished = {\url{https://huggingface.co./OdiaGenAI}},
}
Contributions
- Sambit Sekhar
- Shantipriya Parida
- Debasish Dhal