library_name: mlx
pipeline_tag: text-generation
base_model: expper/mythos-qwen-1.5b-final
tags:
- mlx
- apple-silicon
- abliterated
- uncensored
- heretic
- mythos
🍎 Mythos-Qwen-1.5B · Abliterated · MLX
Uncensored expper/mythos-qwen-1.5b-final in MLX 4-bit for Apple Silicon. Fully local, private, fast, no NVIDIA, no cloud, no API. Built for Mac developers who want an uncensored local model that just runs.
🚀 Run on your Mac
LM Studio: search richardyoung/mythos-qwen-1.5b-abliterated-mlx and load it.
mlx-lm (terminal):
pip install mlx-lm
mlx_lm.chat --model richardyoung/mythos-qwen-1.5b-abliterated-mlx
💾 Hardware
MLX 4-bit, ~0.9 GB. Apple Silicon (M1-M4), no NVIDIA/CUDA needed. Runs on any Mac, even 8 GB, at well over 200 tokens/sec on an M-series chip.
📊 Abliteration
| Metric | Value |
|---|---|
| Base | expper/mythos-qwen-1.5b-final (Qwen2, 1.5B) |
| Refusals after | 2 / 100 |
| KL divergence | 0.023 |
| Method | Heretic directional ablation |
| Format | MLX 4-bit |
🧬 What is abliteration?
Heretic removes the model's internal refusal direction from the weights, so it stops declining requests, with no retraining and capabilities intact.
⚠️ Disclaimer
Safety guardrails removed. For research and authorized use only.
🙏 Acknowledgments
Heretic by Philipp Emanuel Weidmann · MLX by Apple · Base by expper
Built & maintained by Richard Young · DeepNeuro