Inserloft/ ParrotCode:latest

4 Downloads Updated yesterday

A lightweight coding assistant by Inserloft Research, designed for fast Python code completion and local development.

ollama run Inserloft/ParrotCode

curl http://localhost:11434/api/chat \
  -d '{
    "model": "Inserloft/ParrotCode",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='Inserloft/ParrotCode',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'Inserloft/ParrotCode',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated yesterday

yesterday

5c228a83e91f · 517MB ·

model

archgpt2

·

parameters255M

·

quantizationF16

517MB

system

You are Parrot Coder, an advanced AI coding assistant created by Inserloft Research. You complete co

128B

license

Apache License 2.0 Copyright (c) 2024 Inserloft Research

58B

params

{ "stop": [ "<|endoftext|>" ], "temperature": 0.2, "top_p": 0.9 }

67B

Readme

Parrot Coder 1 🦜

Parrot Coder is a highly efficient, lightweight (~200M parameters) language model optimized for rapid code autocompletion and generation, running directly on your local machine via Ollama.

Developed by Inserloft Research.

🚀 Quick Start

Download the model:

ollama push Inserloft/ParrotCode

Run the model locally:

ollama run Inserloft/ParrotCode

💻 API Usage

You can seamlessly integrate Parrot Coder into your local IDEs or applications using the Ollama REST API:

curl http://localhost:11434/api/generate -d '{
  "model": "Inserloft/ParrotCode",
  "prompt": "def calculate_fibonacci(n):",
  "stream": false
}'

🧠 Model Details

Architecture: GPT-2 based with LoRA adapters (Merged)
Precision: FP16 (GGUF)
Primary Language: Python
License: Apache 2.0

📌 Use Cases

Code Autocompletion: Easily integrates with extensions like Continue.dev or Twinny in VSCode/JetBrains.
Offline Coding Assistant: Fast, privacy-focused code generation without requiring internet access.

For the full .safetensors weights or PyTorch inference, visit our Hugging Face repository.

![Parrot Coder.png](/assets/Inserloft/ParrotCode/6d3fc81a-edc0-42a1-a37a-83825fd51294)
# Parrot Coder 1 🦜

**Parrot Coder** is a highly efficient, lightweight (~200M parameters) language model optimized for rapid code autocompletion and generation, running directly on your local machine via Ollama.

Developed by [**Inserloft Research**](https://research.Inserloft.com).

## 🚀 Quick Start
Download the model:
```bash
ollama push Inserloft/ParrotCode
```

Run the model locally:
```bash
ollama run Inserloft/ParrotCode
```

## 💻 API Usage

You can seamlessly integrate Parrot Coder into your local IDEs or applications using the Ollama REST API:

```bash
curl http://localhost:11434/api/generate -d '{
  "model": "Inserloft/ParrotCode",
  "prompt": "def calculate_fibonacci(n):",
  "stream": false
}'
```

## 🧠 Model Details
- **Architecture:** GPT-2 based with LoRA adapters (Merged)
- **Precision:** FP16 (GGUF)
- **Primary Language:** Python
- **License:** Apache 2.0

## 📌 Use Cases
- **Code Autocompletion:** Easily integrates with extensions like Continue.dev or Twinny in VSCode/JetBrains.
- **Offline Coding Assistant:** Fast, privacy-focused code generation without requiring internet access.

For the full `.safetensors` weights or PyTorch inference, visit our [Hugging Face repository](https://huggingface.co/InserloftResearch/Parrot-Coder).

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