---
base_model: ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16
datasets:
- red_pajama-data-1_t-sample
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-r16
  results: []
---

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# Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-r16

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 red_pajama-data-1_t-sample 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 50000

### Framework versions

- PEFT 0.11.1
- Transformers 4.40.1
- Pytorch 2.3.1
- Datasets 2.19.0
- Tokenizers 0.19.1