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VoidWalkercero/
AION-1

Name: AION-1
Availability: InStock

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AION

AION logo

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

python

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:

bash

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

Or from Python:

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:

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

Usage

CLI:

bash

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:

python

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

Evaluation

Local evaluation results are in:

text

results/aion_local_eval.json
results/aion_local_eval.md

Summary:

Suite	Score
chat sanity	3/3
Python generation sanity	3/3
Web generation sanity	4/4
Math/science sanity	6/6
GSM8K test sample 30	0/30

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:

text

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