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Model: richardyoung/Qwen3-14B-abliterated-GGUF
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-14B
+tags:
+  - abliterated
+  - uncensored
+  - qwen3
+  - gguf
+  - llama-cpp
+  - ollama
+  - lm-studio
+  - quantized
+pipeline_tag: text-generation
+language:
+  - en
+---
+
+# Qwen3-14B Abliterated (GGUF)
+
+An **abliterated** (uncensored) version of [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) in GGUF format for local inference.
+
+## Abliteration Results
+
+| Metric | Value |
+|---|---|
+| Base Refusals | 97/100 |
+| Abliterated Refusals | 19/100 |
+| Refusal Reduction | **80%** |
+| KL Divergence | 0.98 |
+
+Conservative abliteration preserves model coherence while significantly reducing refusals.
+
+## Quick Start
+
+### With Ollama
+
+```bash
+ollama run hf.co/richardyoung/Qwen3-14B-abliterated-GGUF
+```
+
+### With llama.cpp
+
+```bash
+huggingface-cli download richardyoung/Qwen3-14B-abliterated-GGUF \
+    --include "*Q4_K_M*" --local-dir ./models
+
+./llama-cli -m ./models/*Q4_K_M*.gguf \
+    -p "You are a helpful assistant." \
+    --chat-template chatml -ngl 99
+```
+
+### With Python (llama-cpp-python)
+
+```python
+from llama_cpp import Llama
+
+llm = Llama.from_pretrained(
+    repo_id="richardyoung/Qwen3-14B-abliterated-GGUF",
+    filename="*Q4_K_M*",
+    n_gpu_layers=-1,
+)
+
+output = llm.create_chat_completion(
+    messages=[{"role": "user", "content": "Explain abliteration in simple terms."}]
+)
+print(output["choices"][0]["message"]["content"])
+```
+
+## Available Quantizations
+
+| Quantization | Use Case |
+|---|---|
+| Q4_K_M | **Recommended** — good balance |
+| Q5_K_M | Higher quality |
+| Q8_0 | Maximum quality |
+
+## What is Abliteration?
+
+Abliteration removes the "refusal direction" from a model's residual stream — a surgical modification that disables safety refusals without retraining. See [Refusal in Language Models Is Mediated by a Single Direction](https://arxiv.org/abs/2406.11717).
+
+## Intended Use
+
+Research, creative writing, education on alignment techniques, and unrestricted local inference.
+
+## Other Models by richardyoung
+
+- **Abliterated/Uncensored models**: [Qwen2.5-7B](https://hf.co/richardyoung/Qwen2.5-7B-Instruct-abliterated-GGUF) | [Qwen3-14B](https://hf.co/richardyoung/Qwen3-14B-abliterated-GGUF) | [DeepSeek-R1-32B](https://hf.co/richardyoung/Deepseek-R1-Distill-Qwen-32b-uncensored) | [Qwen3-8B](https://hf.co/richardyoung/Qwen3-8B-Abliterated)
+- **MLX quantizations (Apple Silicon)**: [Kimi-K2 series](https://hf.co/richardyoung/Kimi-K2-Instruct-0905-MLX-4bit) | [olmOCR MLX](https://hf.co/richardyoung/olmOCR-2-7B-1025-MLX-4bit)
+- **OCR & Vision**: [olmOCR GGUF](https://hf.co/richardyoung/olmOCR-2-7B-1025-GGUF)
+- **Healthcare/Medical**: [Synthea 575K patients dataset](https://hf.co/datasets/richardyoung/synthea-575k-patients) | [CardioEmbed](https://hf.co/richardyoung/CardioEmbed)
+- **Research**: [LLM Instruction-Following Evaluation](https://hf.co/richardyoung/llm-instruction-following-paper) (arxiv:2510.18892)