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license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- code
- code-generation
- parrot-coder
- inserloft
---
# 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).
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