---
base_model: ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: mistral_lora_clm_with_added_tokens
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral_lora_clm_with_added_tokens

This model is a fine-tuned version of [ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16](https://huggingface.co./ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16) 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.42.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1