---
base_model: meta-llama/Llama-2-13b-hf
tags:
- generated_from_trainer
model-index:
- name: Ruckus-PyAssi-13b
  results: []
---

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# Ruckus-PyAssi-13b

This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) 
on a 10 000 examples from flytech/llama-python-codes-30k dataset.

## Model description

Model trained in 4-bit architecture using SFT (Supervised Fine Tuning) and LoRA (Low-Rank Adaptation) methods,
fine-tuning further is possible.

## Intended uses & limitations

Code-generation, but as like all Ruckus models
- Created to serve as an executional layer
- Rich in Python codes and instructional tasks
- Specially formatted for chat (see inference)

## Training procedure

Model was being trained for 13 hours of A6000 single 48GB vRAM GPU

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 32
- eval_batch_size: 32 * 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5

## Inference

- Make sure to format your prompt:
[INST]This is my prompt[/INST]
 
[INST]Ruckus, open google[/INST]

### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1