---
library_name: peft
license: llama2
base_model: TheBloke/Llama-2-13b-GPTQ
tags:
- base_model:adapter:TheBloke/Llama-2-13b-GPTQ
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: adapter
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# adapter

This model is a fine-tuned version of [TheBloke/Llama-2-13b-GPTQ](https://huggingface.co/TheBloke/Llama-2-13b-GPTQ) on an unknown 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.17.0
- Transformers 4.56.0.dev0
- Pytorch 2.8.0.dev20250627+xpu
- Datasets 4.0.0
- Tokenizers 0.21.2