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Quantization made by Richard Erkhov.
DragonAI-Python-SmolLM2-1.7B-Instruct - AWQ
- Model creator: https://huggingface.co/MegaTronX/
- Original model: https://huggingface.co/MegaTronX/DragonAI-Python-SmolLM2-1.7B-Instruct/
Original model description:
library_name: transformers license: apache-2.0 base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct tags: - generated_from_trainer model-index: - name: DragonAI-Python-SmolLM2-1.7B-Instruct results: []
DragonAI-Python-SmolLM2-1.7B-Instruct
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-1.7B-Instruct on the None 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.46.2
- Pytorch 2.2.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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