# 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)](https://huggingface.co/wasertech/assistant-dolphin-2.2.1-mistral-7b-e1-qlora) 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](https://huggingface.co/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
{"language": ["en", "fr"], "license": "apache-2.0", "datasets": ["wasertech/OneOS"]}
transformers safetensors mistral text-generation conversational en fr dataset:wasertech/OneOS license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference 4-bit region:us