How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "adriabama06/Llama-3.2-1B-Instruct-GPTQ-8bit-128g"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "adriabama06/Llama-3.2-1B-Instruct-GPTQ-8bit-128g",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'
Use Docker
docker model run hf.co/adriabama06/Llama-3.2-1B-Instruct-GPTQ-8bit-128g
Quick Links

GPTQ Version of meta-llama/Llama-3.2-1B: 8 bit, 128 groupsize
✅ Tested on vLLM

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