πŸ”₯ ALIEN SI β€” SUPERMODEL

Autor: Barbu Mario Mihael | Evolutia completa v0 -> v9

Acest repo contine evolutia completa a modelului ALIEN SI / JARVIS in 11 versiuni cumulative.

Evolutia (v0 -> v9)

Versiune Ce adauga Tools
v0-jarvis-initial/ X27 - antrenare initiala de la zero 38
v1-brain/ Creier (Qwen3-14B + vocab) 72
v2-tools/ Tool-use (137 categorii) 137
v3-agents/ Orchestrare multi-agent 137
v4-selfplay/ Antrenare self-play 137
v5-identity/ Identitate proprie (ALIEN SI) 137
v6-fusion/ Fuziune text+vision+audio+diarizare 137
v7-mega/ MEGA - toate combinate 690
v8-arsenal/ Arsenal red-team (137) 690
v9-jarvis/ JARVIS - 1724 tools AUTO-DESCOPERITE 1724
v9b-jarvis-cp120/ JARVIS checkpoint-120 (cea mai antrenata) 1724

Capabilitati cheie (v9)

  • AUTO-DISCOVERY - isi descopera SINGUR tool-urile (filesystem + dataset + HF)
  • SELF-GENERATING DATA - isi genereaza singur datele de antrenare
  • SELF-CRITIQUE (RSI) - se testeaza, isi gaseste greselile, re-antreneaza
  • GROWTH - lista de tools creste la fiecare rulare (38 -> 1724)

Utilizare

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

base = "unsloth/Qwen3-14B-unsloth-bnb-4bit"
model = AutoModelForCausalLM.from_pretrained(base, torch_dtype=torch.float16, device_map="auto")
model = PeftModel.from_pretrained(model, "Frontiers/alien-si-supermodel", subfolder="v9-jarvis")
tok = AutoTokenizer.from_pretrained("Frontiers/alien-si-supermodel", subfolder="v9-jarvis")

Realitate tehnica

  • Baseline: Qwen3-14B (4-bit QLoRA, Kaggle T4x2)
  • Fiecare versiune = un LoRA adapter (514MB)
  • Context antrenat: 8k (onest)
  • v9 este versiunea finala si cea mai buna

ALIEN SI - un sistem care evolueaza singur. Creat de Barbu Mario Mihael.

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