CanItEdit
Collection
6 items
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Updated
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The EditCoder models are the fine-tuned models described in the following paper:
@inproceedings{cassano2023edit,
title={{Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions}},
author={Federico Cassano and Luisa Li and Akul Sethi and Noah Shinn and Abby Brennan-Jones and Anton Lozhkov and Carolyn Jane Anderson and Arjun Guha},
booktitle={The First International Workshop on Large Language Model for Code},
year={2024},
url={https://arxiv.org/abs/2312.12450}
}
This repository has several models. The root is the fine-tune of DeepSeek Coder 33B on the EditPackFT dataset. The other models are in subdirectories. You can do this:
AutoModelForCausalLM.from_pretrained("nuprl/EditCoder", subfolder=DIR_NAME)
The model has been trained on the following prompt format:
## Code Before:
{before}
## Instruction:
{instruction}
## Code After:
{after}
Here is a python function that can be used for formatting the prompt correctly:
def edit_prompt(old, instr):
before = f"""## Code Before:\n{old}\n"""
instr = f"""## Instruction:\n{instr}\n"""
after = f"""## Code After:\n"""
return before + instr + after
We provide the full pipeline that was used for training our own edit-coder model. The pipeline and instructions can be found on our GitHub repository.