---
license: llama2
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf
model-index:
- name: llama2_70b_aqlm_toolcall
  results: []
---

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# llama2_70b_aqlm_toolcall

This model is a fine-tuned version of [BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf](https://huggingface.co/BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf) on the identity, the alpaca_gpt4_en and the glaive_toolcall datasets.

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.9.0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.2