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 / pyproject.toml

TheNormsOfIntelligence

Restructure into nima_unified package + add model card

56f9533 verified 18 days ago

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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"]