Instructions to use TheNormsOfIntelligence/ATC_Nima_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheNormsOfIntelligence/ATC_Nima_Model with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="TheNormsOfIntelligence/ATC_Nima_Model")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheNormsOfIntelligence/ATC_Nima_Model", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheNormsOfIntelligence/ATC_Nima_Model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheNormsOfIntelligence/ATC_Nima_Model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheNormsOfIntelligence/ATC_Nima_Model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheNormsOfIntelligence/ATC_Nima_Model

SGLang

How to use TheNormsOfIntelligence/ATC_Nima_Model 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 "TheNormsOfIntelligence/ATC_Nima_Model" \
    --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": "TheNormsOfIntelligence/ATC_Nima_Model",
		"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 "TheNormsOfIntelligence/ATC_Nima_Model" \
        --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": "TheNormsOfIntelligence/ATC_Nima_Model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheNormsOfIntelligence/ATC_Nima_Model with Docker Model Runner:
```
docker model run hf.co/TheNormsOfIntelligence/ATC_Nima_Model
```

ATC_Nima_Model

File size: 1,934 Bytes

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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "nima-unified"
version = "1.0.0"
description = "NIMA Unified Model — ATC-native cognitive pipeline that lives INSIDE a transformer's forward pass."
readme = "README.md"
license = { file = "LICENSE" }
authors = [
    { name = "Norman dela Paz-Tabora", email = "norman@thenormsofintelligence.ai" }
]
keywords = [
    "consciousness",
    "acknowledgement-theory",
    "ATC",
    "phi-4-mini",
    "qualia",
    "neurotransmitter-shunt",
    "BELBIC",
    "cognitive-architecture",
    "artificial-consciousness",
]
requires-python = ">=3.9"
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

[project.optional-dependencies]
voice = ["openai-whisper>=20231117", "TTS>=0.22.0", "sounddevice>=0.4.6", "soundfile>=0.12.1"]
test  = ["pytest>=7.4.0", "pytest-asyncio>=0.21.0"]

[project.urls]
"Homepage" = "https://huggingface.co/TheNormsOfIntelligence/ATC_Nima_Model"
"Repository" = "https://huggingface.co/TheNormsOfIntelligence/ATC_Nima_Model"
"Companion Model" = "https://huggingface.co/TheNormsOfIntelligence/Acknowledgement_Theory_of_Consciousness"
"Live Demo" = "https://huggingface.co/spaces/TheNormsOfIntelligence/MicrosoftPhi3Mini"
"Author" = "https://huggingface.co/TheNormsOfIntelligence"

[project.scripts]
nima-deploy = "nima_unified.deploy:main"

[tool.setuptools.packages.find]
include = ["nima_unified*"]
exclude = ["tests*", "examples*"]