How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "JARVIShks/JARVIS-Model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JARVIShks/JARVIS-Model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/JARVIShks/JARVIS-Model
Quick Links

JARVIS Custom Language Model

This model is a fine-tuned version of Llama-3.2-1B-Instruct trained on a locally sourced custom dataset.

Intended Use

Designed to act as the core conversational brain for a voice-to-voice AI system inside Hugging Face Spaces.

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