How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ICEPVP8977/Uncensored_Replete_Coder_Qwen2_1.5b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ICEPVP8977/Uncensored_Replete_Coder_Qwen2_1.5b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'
Use Docker
docker model run hf.co/ICEPVP8977/Uncensored_Replete_Coder_Qwen2_1.5b:
Quick Links

Uncensored_Replete_Coder_Qwen2_1.5b

Downloads last month
1,282
GGUF
Model size
2B params
Architecture
qwen2
Hardware compatibility
Log In to add your hardware

4-bit

8-bit

16-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 2 Ask for provider support

Collection including ICEPVP8977/Uncensored_Replete_Coder_Qwen2_1.5b