How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Tetsuto/iac-repair-3b-gguf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Tetsuto/iac-repair-3b-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'
Use Docker
docker model run hf.co/Tetsuto/iac-repair-3b-gguf:F16
Quick Links

iac-repair-3b-gguf

Fine-tuned Qwen2.5-Coder-3B for Infrastructure-as-Code repair. Use with stackfix.

pass@1: 0.867 on Cloud-Gym benchmark (188 entries, 8 error categories)

Quick Start

pip install cloud-gym[gguf]

python -c "
from huggingface_hub import hf_hub_download
hf_hub_download('Tetsuto/iac-repair-3b-gguf', 'iac-repair-3b-q4.gguf', local_dir='.')
"

stackfix repair broken.tf --backend gguf --model iac-repair-3b-q4.gguf

Requirements

  • Disk: 1.8 GB (Q4) | RAM: ~4 GB | Speed: 49 tok/s (CPU)
  • Best for: CI/CD, pre-commit, servers
  • Runs on Linux, macOS, Windows. No GPU required.

Source

Downloads last month
7
GGUF
Model size
3B params
Architecture
qwen2
Hardware compatibility
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16-bit

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