| --- |
| language: |
| - en |
| - ro |
| library_name: peft |
| base_model: unsloth/Qwen3-14B-unsloth-bnb-4bit |
| tags: |
| - security |
| - red-team |
| - alien-si |
| - jarvis |
| - self-evolving |
| - rsi |
| - arsenal |
| - tool-use |
| - qlora |
| - peft |
| license: apache-2.0 |
| --- |
| |
| # 🔥 ALIEN SI — 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 |
|
|
| ```python |
| 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**. |
|
|
