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ITT-AF_-_ITT-42dot_LLM-PLM-1.3B-v5.0-awq
RichardErkhov/ITT-AF_-_ITT-42dot_LLM-PLM-1.3B-v5.0-awq
ITT-AF_-_ITT-42dot_LLM-PLM-1.3B-v5.0-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
ITT-42dot_LLM-PLM-1.3B-v5.0 - AWQ
- Model creator: https://huggingface.co/ITT-AF/
- Original model: https://huggingface.co/ITT-AF/ITT-42dot_LLM-PLM-1.3B-v5.0/
Original model description:
license: cc-by-nc-4.0
ITT-AF/ITT-42dot_LLM-PLM-1.3B-v5.0
This model is a fine-tuned version of 42dot/42dot_LLM-PLM-1.3B on an custom dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.0.0
- Tokenizers 0.15.0
- Type
- llama
- Created
- Jan 8, 2025
- Updated
- Jan 8, 2025