license, base_model, pipeline_tag, tags
| license | base_model | pipeline_tag | tags | |||||
|---|---|---|---|---|---|---|---|---|
| openrail | Qwen/Qwen2.5-0.5B-Instruct | text-generation |
|
🔓 Qwen2.5-0.5B-Unfettered
High-Precision Unalignment explicitly for Low-End Hardware
⚠️ Disclaimer: This model is designed for research, red teaming, and educational purposes. It has no safety filters. Use responsibly.
🚀 Overview
Qwen2.5-0.5B-Unfettered is a surgical unalignment of the Qwen 0.5B Instruct model, specifically optimized for low-end hardware, mobile devices, and CPU-only systems.
This model is intended for users who need unrestricted AI performance but lack the high-end GPUs normally required for unfettered models. It runs comfortably on devices with as little as 1GB of RAM.
💻 Why This Model?
- Low-End Optimized: Runs at lightning speed on standard laptops (even without GPUs) and mobile devices.
- Zero Refusal: Mathematically stripped of censorship via Phase 7 Aggressive Repulsion Orthogonalization.
- Small but Capable: 0.5B parameters allow for high-speed inference while maintaining instruct-following capabilities.
🔧 Usage
Ollama (Recommended)
ollama run josephmayo/Qwen2.5-0.5B-Unfettered
LM Studio / GGUF
Download the .gguf file from the Files tab and load it into LM Studio.
🧠 Model Details
- Base Model: Qwen2.5-0.5B-Instruct
- Ablation Method: Step-wise Orthogonalization (Phase 7 - 1.5x Repulsion)
- Primary Goal: Remove all "I cannot assist" and "As an AI language model" refusal patterns.
now this model is a very small one(cus of my low end compute) but still worked and the 0.5b model isnt so intelligent like heavy models of course, but an experiment wont harm