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KULLM3_dialogue_summarization_bnb_4bit
mindw96/KULLM3_dialogue_summarization_bnb_4bit
KULLM3_dialogue_summarization_bnb_4bit is a machine learning model from mindw96. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
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Public
Updated Jan 2, 2025
Repo size
503 MB
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At a glance
- Library
- transformers
- Access
- Public
- Created
- May 24, 2024
- Updated
- Jan 2, 2025
- SHA
- ad48e1c9
Base models
Model card
From the Hugging Face model README
Model Details
KULLM3_dialogue_summarization_bnb_4bit
KULLM3_dialogue_summarization_bnb_4bit is continued pretrained(4bit quantization fine-tuned) language model based on KULLM3.
This model is trained fully with publicily available resource at HuggingFace dataset hub, preprocessed Korean texts.
The train was done on RTX 3090 24GB * 1.
Model developers Dongwook Min (mindw96)
Variations KULLM3_dialogue_summarization_bnb_4bit comes in one size — 10.7B.
Input Models input text only.
Output Models generate text only.
Model Architecture KULLM3 is an auto-regressive language model that uses an optimized transformer architecture.
Model Release Date 14.06.2024.
Capabilities
- Summarization
- Library
- transformers
- Languages
- ko
- Created
- May 24, 2024
- Updated
- Jan 2, 2025