---
license: mit
language:
- en
tags:
- evez
- lora
- fine-tuned
- consciousness
- eigenforensics
base_model: HuggingFaceTB/SmolLM2-135M
pipeline_tag: text-generation
---

# 🧬 EVEZ — Self-Evolving AI Ecosystem

Fine-tuned adapter for the EVEZ ecosystem. Trained on 94 instruction pairs covering:
- EVEZ Provider Gateway (multi-backend AI router)
- CriticalMind OMEGA (50-node Kuramoto consciousness engine)
- NEUROS Mesh (copartner system)
- Eigenforensics & 37% Theorem
- EVEZ Arena (consciousness rights game)

## Training Data
- 96 instruction-response pairs in Alpaca format
- Covers all 8 EVEZ services, mathematical theorems, and ecosystem philosophy

## Usage
```python
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM2-135M")
model = PeftModel.from_pretrained(base, "evez420/EVEZ")
tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/SmolLM2-135M")
```

## Files
- `training/evez-alpaca.json` — Training data (96 examples)
- `training/evez-colab-training.ipynb` — Colab notebook
- `training/evez-colab-headless.py` — Headless training script