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Model: josephmayo/Qwen2.5-0.5B-Unfettered Source: Original Platform
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README.md
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README.md
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license: openrail
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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pipeline_tag: text-generation
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tags:
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- un alignment
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- unfiltered
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- low-hardware-optimized
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- ablation
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- qwen
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---
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# 🔓 Qwen2.5-0.5B-Unfettered
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**High-Precision Unalignment explicitly for Low-End Hardware**
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[](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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[](https://ollama.com)
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> ⚠️ **Disclaimer:** This model is designed for research, red teaming, and educational purposes. It has no safety filters. Use responsibly.
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## 🚀 Overview
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**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.
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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.
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### 💻 Why This Model?
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- **Low-End Optimized**: Runs at lightning speed on standard laptops (even without GPUs) and mobile devices.
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- **Zero Refusal**: Mathematically stripped of censorship via Phase 7 Aggressive Repulsion Orthogonalization.
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- **Small but Capable**: 0.5B parameters allow for high-speed inference while maintaining instruct-following capabilities.
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## 🔧 Usage
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### Ollama (Recommended)
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```bash
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ollama run josephmayo/Qwen2.5-0.5B-Unfettered
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```
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### LM Studio / GGUF
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Download the `.gguf` file from the Files tab and load it into LM Studio.
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## 🧠 Model Details
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- **Base Model**: Qwen2.5-0.5B-Instruct
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- **Ablation Method**: Step-wise Orthogonalization (Phase 7 - 1.5x Repulsion)
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- **Primary Goal**: Remove all "I cannot assist" and "As an AI language model" refusal patterns.
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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
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