README.md

metadata

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

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