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

llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs

About

llasm, is a novel framework that fuses encoder-only and decoder-only LLMs, which utilizes their capabilities to better comprehend assembly language and have better generalizability at function naming.

This is the decoder of llasm. The upload model is a lora adapter, the base model is Vicuna-13B.

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