metadata
library_name: vllm
language:
- code
license: other
tags:
- code
- mistral-common
inference: false
license_name: mnpl
license_link: https://mistral.ai/licences/MNPL-0.1.md
extra_gated_description: >-
If you want to learn more about how we process your personal data, please read
our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
🚀 CodingAgent-22B-v1
A powerful 22 Billion parameter coding language model fine-tuned to assist with software development tasks including code generation, debugging, refactoring, documentation, reasoning, and programming assistance.
✨ Features
- 💻 High-quality code generation
- 🐞 Intelligent debugging assistance
- 🔄 Code refactoring & optimization
- 📖 Automatic documentation generation
- 🧠 Strong reasoning for complex programming tasks
- 🌐 Supports multiple programming languages
- ⚡ Optimized for Hugging Face Transformers
- 🔥 Compatible with vLLM and Text Generation Inference (TGI)
📊 Model Information
| Property | Value |
|---|---|
| Model Name | CodingAgent-22B-v1 |
| Base Architecture | Mistral |
| Parameters | 22 Billion |
| Framework | Transformers |
| Format | SafeTensors |
| Precision | FP16 |
| Context Length | (Update if applicable) |
🛠 Supported Languages
- Python
- JavaScript
- TypeScript
- Java
- C
- C++
- C#
- Go
- Rust
- PHP
- Ruby
- Kotlin
- Swift
- SQL
- HTML
- CSS
- Bash
- JSON
- YAML
- Markdown
📦 Installation
pip install transformers accelerate torch
🚀 Quick Start
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_id = "kovaion/codingagent-22b-v1"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.float16,
device_map="auto"
)
prompt = "Write a Python function that implements binary search."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=256,
temperature=0.2
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
🎯 Ideal Use Cases
- AI Coding Assistant
- Software Development
- Code Completion
- Bug Fixing
- Code Explanation
- Competitive Programming
- Technical Interview Preparation
- Documentation Generation
- API Development
- Educational Projects
⚙️ Recommended Generation Settings
| Parameter | Value |
|---|---|
| Temperature | 0.2–0.7 |
| Top-p | 0.95 |
| Max New Tokens | 512–2048 |
| Repetition Penalty | 1.05 |
📁 Repository Structure
config.json
generation_config.json
model-00001-of-00009.safetensors
...
model-00009-of-00009.safetensors
tokenizer.json
tokenizer.model
special_tokens_map.json
README.md
⚡ Performance
CodingAgent-22B-v1 is optimized for:
- Large-scale code generation
- Instruction following
- Multi-turn coding conversations
- Code reasoning
- Debugging assistance
- Algorithm implementation
🤝 Contributing
Contributions, suggestions, and feedback are always welcome.
If you discover issues or have ideas for improvements, please open an issue or submit a pull request.
📜 License
This project follows the license specified for this repository.
⭐ Support
If you find this model useful:
- ⭐ Star the repository
- ❤️ Like the model on Hugging Face
- 🔄 Share it with the community
🙏 Acknowledgements
Built using the Mistral architecture and the Hugging Face Transformers ecosystem.
Special thanks to the open-source AI community for advancing large language models.