---
language:
- code
datasets:
- nuprl/EditPackFT
library_name: transformers
pipeline_tag: text2text-generation
tags:
- code
model-index:
- name: EditCoder-6.7b-v1
  results:
  - task:
      type: text-generation
    dataset:
      type: nuprl/CanItEdit
      name: CanItEdit Descriptive
    metrics:
    - name: pass@1
      type: pass@1
      value: 0.4815 
      verified: false
  - task:
      type: text-generation
    dataset:
      type: nuprl/CanItEdit
      name: CanItEdit Lazy
    metrics:
    - name: pass@1
      type: pass@1
      value: 0.3696
      verified: false
---
EditCoder-6.7b (version 1) is a fine-tuned version of [DeepSeek Coder](deepseek-ai/deepseek-coder-6.7b-base) (base model, 6.7b parameters) for instructional code editing.
We utilize [EditPackFT](https://huggingface.co/datasets/nuprl/EditPackFT) as our fine-tuning dataset, and we show state-of-the-art performance among non-distilled open source models
for code editing, using the [CanItEdit](https://huggingface.co/datasets/nuprl/CanItEdit) benchmark.

More information can be found on [our paper](https://federico.codes/assets/papers/canitedit.pdf).

# Prompt
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:
```py
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
```