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README.md
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---
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license: apache-2.0
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datasets:
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- wasertech/OneOS
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language:
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- en
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- fr
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---
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# Assistant Dolphin 2.2.1 Mistral 7B (1 epoch) AWQ
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This model is a quantized version of [Assistant Dolphin 2.2.1 Mistral 7B (1 epoch)](https://huggingface.co/wasertech/assistant-dolphin-2.2.1-mistral-7b-e1-qlora) using AWQ.
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## Model description
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Assistant Dolphin 2.2.1 Mistral 7B is a fine-tuned version of the [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) model on the OneOS dataset for an epoch.
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## Intended uses & limitations
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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.
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## Training and evaluation data
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The model was trained on the OneOS dataset.
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1.41e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 2
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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### Framework versions
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- AutoAWQ 0.1.8
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- PEFT 0.7.2.dev0
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- Transformers 4.37.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.2.dev0
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- Tokenizers 0.15.0
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