README.md

---
license: mit
base_model: microsoft/phi-2
datasets:
- TokenBender/code_instructions_122k_alpaca_style
language:
- en
tags:
- code
- nlp
---
## Model Summary

CodePhi2 is finetuning of the Microsoft Phi-2 LLM with **2.7 billion** parameters. It was finetuned on TokenBender's [code_instructions_122k_alpaca_style]("https://huggingface.co/datasets/TokenBender/code_instructions_122k_alpaca_style"). The end goal was to increase Phi-2's coding ability while imbuing the Alpaca format.


## Instruction Format (Alpaca)

CodePhi2 has been finetuned on the Alpaca instruction format, and as such should be prompted like below:
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{instruction}

### Response:
```
#### Notes
If you are using transformers>=4.36.0, always load the model with trust_remote_code=True to prevent side-effects.