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OOM-7B_01
giprime/OOM-7B_01
OOM-7B_01 is a machine learning model from giprime. 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 adapter-transformers. The card lists the license as apache-2.0.
Access
Public
Updated Feb 5, 2024
Parameters
6.9B
13.7 GB on disk
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At a glance
- Library
- adapter-transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024
- SHA
- 2712f3f9
Model card
From the Hugging Face model README
Model Architecture
OOM-7B_01 is an language model that uses an optimized transformer architecture based on Llama-2.
Model description
Based on "beomi/llama-2-ko-7b"
Intended uses & limitations
T.B.D.
Training and evaluation data
T.B.D.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-04
- train_batch_size: 2
- eval_batch_size: 8
- seed: 24
- gradient_accumulation_steps: 1
- total_train_batch_size:
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- adapter-transformers
- Type
- llama
- License
- apache-2.0
- Languages
- en, ko
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024