Model Card: hjys_LLM_final (42dot LLM-SFT-1.3B Fine-Tuned Version)
Model Overview
The 42dot LLM-SFT-1.3B is a fine-tuned version of the large language model developed by 42dot, specifically undergoing Supervised Fine-Tuning (SFT) to enhance its ability to follow natural language instructions. This model aims to improve scores on the ko-CommonGen V2 task, for which it was fine-tuned using the beomi/KoAlpaca-v1.1a dataset.
Dataset
The beomi/KoAlpaca-v1.1a dataset used for fine-tuning offers a rich resource for Korean natural language processing, contributing to the advancement of the model's language understanding and generation capabilities.
Goal
The primary goal of this model is to improve scores on the ko-CommonGen V2 task, which involves generating meaningful sentences using given words, assessing the model's creativity and language comprehension. This model is equipped to effectively use specific keywords to generate meaningful sentences.
Fine-Tuning Details
- Parameters: 1.3B
- Layers: 24
- Attention Heads: 32
- Hidden Size: 2,048
- FFN Size: 5,632
- Maximum Length: 4,096 tokens
- Training Time: 5 GPU hours on NVIDIA A100 (Google Colab Pro+)
Limitations and Ethical Considerations
Like other LLMs, the 42dot LLM-SFT-1.3B may produce hallucinated or biased content. Users should be aware of these limitations and take appropriate actions.
Disclaimer
Contents generated by this model do not necessarily reflect the views of 42dot Inc. All responsibility lies with the end-user, and 42dot assumes no liability.
License
This model is available for non-commercial use only, under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) license.
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