Instructions to use Frontiers/alien-si-mega with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Frontiers/alien-si-mega with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-14B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Frontiers/alien-si-mega") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Frontiers/alien-si-mega: direct link, hf CLI and curl.
- Browser
- Download file 579 Bytes
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https://huggingface.co/Frontiers/alien-si-mega/resolve/main/README.md
- Command line
-
hf download hf://Frontiers/alien-si-mega/README.md
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curl -L -o README.md https://huggingface.co/Frontiers/alien-si-mega/resolve/main/README.md
579 Bytes
metadata
base_model: unsloth/Qwen3-14B-unsloth-bnb-4bit
library_name: peft
tags:
- security
- alien-si
- multimodal
- vision
- audio
- diarization
- red-team
license: apache-2.0
ALIEN SI MEGA — Model Complet Multimodal
Creat de: Barbu Mario Mihael
Toate abilitatile intr-un singur model:
- Text/red-team (Qwen3-14B)
- Vision (Qwen2.5-VL-3B): imagini, circuite, screenshot
- Audio (Whisper-large-v3-turbo)
- Multi-Speaker (pyannote): mai multi vorbitori simultan
- Tools, Agents, Self-play, Identity
Modelul stie ca se numeste Alien SI si e creat de Barbu Mario Mihael.