---
base_model: openlm-research/open_llama_3b
datasets:
- mwitiderrick/Open-Platypus
inference: true
model_type: llama
prompt_template: |
  ### Instruction:\n
  {prompt}
  ### Response:
created_by: mwitiderrick
tags:
- transformers
license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
# OpenLLaMA Instruct: An Open Reproduction of LLaMA

This is an [OpenLlama model](https://huggingface.co/openlm-research/open_llama_3b) that has been fine-tuned on 1 epoch of the
[Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus) dataset.

The modified version of the dataset can be found [here](mwitiderrick/Open-Platypus)

## Usage 
```python
from transformers import AutoTokenizer, AutoModelForCausalLM,pipeline

tokenizer = AutoTokenizer.from_pretrained("mwitiderrick/open_llama_3b_instruct_v_0.2")
model = AutoModelForCausalLM.from_pretrained("mwitiderrick/open_llama_3b_instruct_v_0.2")
query = "Provide step-by-step instructions for making banana bread"
text_gen = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200)
output = text_gen(f"### Instruction:\n{query}### Response:\n")
print(output[0]['generated_text'])
"""
### Instruction:
Provide step-by-step instructions for making banana bread
### Response:
1. Preheat the oven to 350 degrees Fahrenheit.
2. Sift together the flour, baking soda, and salt into a large bowl.
3. In a separate bowl, whisk together the sugar, oil, and eggs.
4. Add the wet ingredients to the dry ingredients and mix until combined.
5. Stir in the bananas and nuts.
6. Pour the batter into a greased loaf pan and bake for 50-60 minutes, or until a toothpick inserted into the center comes out clean.
7. Allow the bread to cool completely before slicing and serving.
8. Store in an airtight container for up to 3 days.
9. Repeat steps 1-8 until all the bananas are used up.
10. Repeat steps 1
"""
```