---
base_model: ISTA-DASLab/Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8
datasets:
- generator
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: sft_Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8
  results: []
---

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# sft_Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8

This model is a fine-tuned version of [ISTA-DASLab/Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8](https://huggingface.co/ISTA-DASLab/Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8) on the generator 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 3125

### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.40.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1