Assistant Dolphin 2.2.1 Mistral 7B (1 epoch) AWQ
This model is a quantized version of Assistant Dolphin 2.2.1 Mistral 7B (1 epoch) using AWQ.
Model description
Assistant Dolphin 2.2.1 Mistral 7B is a fine-tuned version of the cognitivecomputations/dolphin-2.2.1-mistral-7b model on the OneOS dataset for an epoch.
Intended uses & limitations
This model is intended to be used in natural language processing systems to improve text understanding and generation. Specific limitations will depend on the training and evaluation data.
Training and evaluation data
The model was trained on the OneOS dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.41e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- AutoAWQ 0.1.8
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
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