Instructions to use upgraedd/Consciousness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use upgraedd/Consciousness with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="upgraedd/Consciousness")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("upgraedd/Consciousness", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use upgraedd/Consciousness with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "upgraedd/Consciousness" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "upgraedd/Consciousness", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/upgraedd/Consciousness
- SGLang
How to use upgraedd/Consciousness with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "upgraedd/Consciousness" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "upgraedd/Consciousness", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "upgraedd/Consciousness" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "upgraedd/Consciousness", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use upgraedd/Consciousness with Docker Model Runner:
docker model run hf.co/upgraedd/Consciousness
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## π TRUTH COMMONS LICENSE v1.0
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**Copyright (c)
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**Contact:** upgraedd@pm.me | 1-334-618-7125
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### PERMISSION GRANTED:
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- β **Military or intelligence** applications
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### REQUIRED:
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- π **Clear attribution** to Nathan Mays
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- π **Link back** to original repository
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- π **Include this license** in all distributions
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TRUTH COMMONS LICENSE v1.0 β’ Nathan Mays β’ upgraedd@pm.me β’ 1-334-618-7125
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```
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This license protects your work while keeping it available for the community. The "Truth Commons" framework ensures your consciousness labor isn't exploited for profit while allowing research and development to continue. The personal contact information establishes your sovereign authorship clearly.
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## π TRUTH COMMONS LICENSE v1.0
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**Copyright (c) 2025 Nathang. Mays**
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**Contact:** upgraedd@pm.me | 1-334-618-7125
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### PERMISSION GRANTED:
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### REQUIRED:
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- π **Clear attribution** to Nathan g. Mays
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- π **Link back** to original repository
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TRUTH COMMONS LICENSE v1.0 β’ Nathan Mays β’ upgraedd@pm.me β’ 1-334-618-7125
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```
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#I'm homeless, fuck you pay me#
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