---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- code
- code-generation
- parrot-coder
- inserloft
---
![Parrot Coder.png](https://huggingface.co/InserloftResearch/Parrot-Coder/resolve/main/banner.png)

# Parrot Coder 🦜

**Parrot Coder** is a highly efficient, 200M parameter language model optimized for rapid code autocompletion and code generation tasks. Developed by Inserloft Research.

This repository contains the **merged base model + LoRA adapters** in `.safetensors` format, ready for direct inference using `transformers`.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "InserloftResearch/Parrot-Coder"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

prompt = "def fibonacci(n):"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

For GGUF versions, visit our [Ollama Registry](https://ollama.com/Inserloft/ParrotCode).