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

Concept Bottleneck Large Language Models

This repository contains the Concept Bottleneck Large Language Model (CB-LLM) presented in Concept Bottleneck Large Language Models.

Project Website

Code: https://github.com/Trustworthy-ML-Lab/CB-LLMs

This model offers inherent interpretability and controllability in text generation. See the linked paper and GitHub repository for details on training and usage.

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Paper for cesun/cbllm-generation