Instructions to use my-ai-stack/Stack-2-9-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use my-ai-stack/Stack-2-9-finetuned with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="my-ai-stack/Stack-2-9-finetuned")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("my-ai-stack/Stack-2-9-finetuned")
model = AutoModelForCausalLM.from_pretrained("my-ai-stack/Stack-2-9-finetuned")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use my-ai-stack/Stack-2-9-finetuned with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "my-ai-stack/Stack-2-9-finetuned"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/my-ai-stack/Stack-2-9-finetuned

SGLang

How to use my-ai-stack/Stack-2-9-finetuned with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "my-ai-stack/Stack-2-9-finetuned" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "my-ai-stack/Stack-2-9-finetuned" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use my-ai-stack/Stack-2-9-finetuned with Docker Model Runner:
```
docker model run hf.co/my-ai-stack/Stack-2-9-finetuned
```

Stack-2-9-finetuned / stack /deploy /README.md

walidsobhie-code

refactor: Squeeze folders further - cleaner structure

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	# 🚀 Stack 2.9 - Pattern-Based AI Coding Assistant

	A HuggingFace Spaces demo for Stack 2.9, a pattern-based AI coding assistant powered by Qwen2.5-Coder-7B.

	![License](https://img.shields.io/badge/license-MIT-blue.svg)
	![Python](https://img.shields.io/badge/python-3.10+-green.svg)
	![Gradio](https://img.shields.io/badge/Gradio-4.0+-orange.svg)

	## ✨ Features

	- 🤖 Qwen2.5-Coder-7B - State-of-the-art code generation model
	- 🔧 7 Integrated Tools - File operations, git, web search, shell commands
	- 🧠 Pattern Memory - Learns from each interaction
	- ⚡ Fast Streaming - Real-time token-by-token generation
	- 💾 4-bit Quantization - Runs on 16GB GPU (~4GB VRAM)

	## 🔧 Available Tools

	\| Tool \| Description \|
	\|------\|-------------\|
	\| `file_read` \| Read files from the filesystem \|
	\| `file_write` \| Write content to files \|
	\| `git_status` \| Check git repository status \|
	\| `web_search` \| Search the web for information \|
	\| `run_command` \| Execute shell commands \|
	\| `create_directory` \| Create new directories \|
	\| `list_directory` \| List directory contents \|

	## 🏃‍♂️ Quick Start

	### Local Development

	```bash
	# Clone the repository
	git clone https://github.com/your-repo/stack-2.9.git
	cd stack-2.9/space

	# Install dependencies
	pip install -r requirements.txt

	# Run the demo
	python app.py --share
	```

	### HuggingFace Spaces

	1. Create a new Space on [HuggingFace](https://huggingface.co/spaces)
	2. Select "Gradio" as the SDK
	3. Upload the files from this directory:
	- `app.py`
	- `requirements.txt`
	- `README.md`
	4. The model will load automatically on startup

	## 💻 Usage

	### Example Prompts

	```
	Hello! What can you help me with?
	Check git status of this repository
	Search for best practices for Python async programming
	List the files in the current directory
	Write a simple Python function to calculate fibonacci
	How do I use Git to create a new branch?
	What's your memory of our conversation?
	```

	### Python API

	```python
	from app import StackModel, memory

	# Initialize model
	model = StackModel()
	model.load()

	# Generate response
	response = model.generate("Write a hello world in Python")
	print(response)

	# Check memory stats
	print(memory.get_stats())
	```

	## 🔐 Environment Variables

	- `HF_TOKEN` - Your HuggingFace token for private models (optional)
	- `MODEL_ID` - Override default model (default: Qwen/Qwen2.5-Coder-7B-Instruct)

	## 📊 Memory System

	Stack 2.9 includes a pattern memory system that:

	1. Tracks Interactions - Records every user-assistant exchange
	2. Learns Patterns - Identifies frequently used tools
	3. Stores Code - Saves useful code snippets
	4. Adapts Behavior - Uses learned context to improve responses

	## 🛠️ Tech Stack

	- Model: Qwen2.5-Coder-7B-Instruct
	- Quantization: 4-bit (bitsandbytes)
	- Framework: Gradio 4.0+
	- Backend: Transformers + Accelerate
	- GPU: 16GB VRAM recommended

	## 📝 License

	MIT License - see LICENSE file for details.

	## 🙏 Acknowledgments

	- [Qwen](https://github.com/QwenLM/Qwen) - Base model
	- [HuggingFace](https://huggingface.co/) - Spaces hosting
	- [Gradio](https://gradio.app/) - UI framework

	---

	<div align="center">

	Made with ❤️ by Stack 2.9

	</div>