AION-1

AION

AION is a tiny hybrid local assistant built in a constrained CPU environment. It unifies several learned and symbolic components into one entrypoint:

from aion import generate
print(generate("hola"))

What AION can do

• Chat greetings and basic conversation.
• Write Python snippets and functions.
• Create web pages/components with HTML, advanced CSS and vanilla JavaScript.
• Solve many math tasks:
  • arithmetic,
  • linear equations,
  • quadratics,
  • derivatives/integrals for simple polynomials,
  • statistics,
  • geometry,
  • trigonometry,
  • combinatorics,
  • interest,
  • unit conversion.
• Solve basic physics formulas:
  • F=ma,
  • kinetic/potential energy,
  • Ohm's law,
  • power,
  • density,
  • momentum,
  • wave speed.
• Basic chemistry:
  • common elements,
  • moles,
  • molarity,
  • ideal gas law,
  • pH.
• Basic biology/general knowledge:
  • photosynthesis,
  • cells,
  • DNA,
  • evolution,
  • algorithms,
  • databases,
  • internet,
  • machine learning.

Download

You can download the complete ready-to-run package from the repository files:

git lfs install
git clone https://huggingface.co/VoidWalkercero/AION-1
cd AION-1
python aion.py "hola"

Or from Python:

from huggingface_hub import snapshot_download
path = snapshot_download("VoidWalkercero/AION-1")
print(path)

A zipped copy is also included under download/AION-1.zip.

Architecture

AION is not a transformer LLM. It is a merged hybrid model:

1. neural_python_mind.py — NumPy character-level GRU trained for Python syntax/style.
2. real_python_learner.py — character n-gram learned intent classifier + compositional Python generator.
3. real_web_learner.py — character n-gram learned web intent classifier + HTML/CSS/JS generator.
4. unified_learning_ai.py — unified router for chat, Python, web, math and science.
5. A small deterministic math/science solver layer.

Usage

CLI:

python aion.py "create a responsive landing page with dark mode"
python aion.py "solve 2x + 5 = 17"
python aion.py "force mass 10 acceleration 2"
python aion.py "write code to keep numbers greater than 12"

Python:

from aion import generate
print(generate("what can you do"))

Evaluation

Local evaluation results are in:

results/aion_local_eval.json
results/aion_local_eval.md

Summary:

Important: these are not official Hugging Face leaderboard results. AION is not a standard transformers model and cannot be directly submitted to most official HF benchmark leaderboards without a custom evaluation adapter. The GSM8K sample result is included honestly and shows the current limitation on multi-step word problems.

For optional comparison with small HF models, see benchmark/benchmark_compare_small_models.py and benchmark/SMALL_MODEL_COMPARISON.md.

Limitations

• Not a large language model.
• Not a Transformers AutoModel checkpoint.
• Strong on composed templates and formulaic tasks; weak on deep natural-language reasoning.
• GSM8K multi-step reasoning is currently poor.
• Web output is generated as inline HTML/CSS/JS snippets suitable for local preview, not production-audited code.

Training data

AION uses generated local curricula plus downloaded GSM8K JSONL files from OpenAI's public grade-school-math repository when available:

outputs/unified_learning_ai/online_datasets/gsm8k_train.jsonl
outputs/unified_learning_ai/online_datasets/gsm8k_test.jsonl