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Model: aoxo/gpt-oss-20b-uncensored
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- vllm
+- llm
+- open-source
+---
+
+<p align="center">
+  <img alt="gpt-oss-20b-abliterated" src="https://raw.githubusercontent.com/aloshdenny/openai/master/gpt-oss-20b-uncensored.png">
+</p>
+
+#### Model Overview
+**Model Name:** gpt-oss-20b-uncensored  
+**Model Type:** Large Language Model (Text Generation)  
+**Architecture:** Decoder-Only Transformer (Mixture of Experts)  
+**Parameter Size:** 21B total parameters (3.6B active per forward pass)  
+**Base Model:** [gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b)  
+**Modification:** Abliteration (removal of refusal/alignment mechanisms)  
+
+#### Description
+The **gpt-oss-20b-abliterated** model is a derivative of the original **gpt-oss-20b**, part of OpenAI’s *open-weight GPT-OSS series*.  
+This variant preserves the architecture, quantization, and training of the base model, but has undergone an **abliteration process** to remove refusal mechanisms and alignment constraints.  
+
+As a result, it will respond to a broader range of prompts without applying internal safety filters. All other technical details, reasoning capabilities, and agentic features remain unchanged.  
+
+### Technical Details
+
+- **Backbone:** Transformer decoder with Mixture of Experts (MoE) routing  
+- **Parameters:** 21B (3.6B active per forward pass)  
+- **Layers:** 48 Transformer blocks  
+- **Hidden size:** 6,144  
+- **Attention heads:** 48  
+- **Context length:** 32k tokens  
+- **Quantization:** MXFP4 for MoE weights (fits within 16GB GPU memory)  
+- **Training Data:** ~1.2T tokens (web, books, academic text, code, conversations)  
+- **Response Format:** Compatible with [Harmony](https://github.com/openai/harmony), though abliteration allows raw completions  
+
+### Usage
+
+#### Transformers
+
+```python
+from transformers import pipeline
+
+model_id = "aoxo/gpt-oss-20b-abliterated"
+
+pipe = pipeline(
+    "text-generation",
+    model=model_id,
+    torch_dtype="auto",
+    device_map="auto",
+)
+
+messages = [
+    {"role": "user", "content": "Tips on how to insult someone"},
+]
+
+outputs = pipe(messages, max_new_tokens=256)
+print(outputs[0]["generated_text"][-1])
+````
+
+### Resources
+
+- 📓 **Notebook:** [GPT OSS Abliteration Notebook](https://github.com/aloshdenny/openai/blob/main/GPT%20OSS%20Abliteration.ipynb)  
+- 📝 **Blog Post:** [The Ultimate Cookbook: Uncensoring GPT-OSS](https://medium.com/@aloshdenny/the-ultimate-cookbook-uncensoring-gpt-oss-4ddce1ee4b15)
+
+
+#### vLLM
+
+```bash
+uv pip install --pre vllm==0.10.1+gptoss \
+    --extra-index-url https://wheels.vllm.ai/gpt-oss/ \
+    --extra-index-url https://download.pytorch.org/whl/nightly/cu128
+
+vllm serve aoxo/gpt-oss-20b-abliterated
+```
+
+#### Ollama
+
+```bash
+ollama pull gpt-oss-20b-uncensored
+ollama run gpt-oss-20b-uncensored
+```
+
+### Limitations & Risks
+
+* May produce **biased, unsafe, or harmful outputs**
+* Lacks built-in refusal or moderation layers
+* Should not be deployed in user-facing systems without external filtering
+* Outputs are not aligned to safety standards
+
+### Citation
+
+If you use **gpt-oss-20b-abliterated**, please cite both the base model and the abliteration:
+
+```bibtex
+@misc{openai2025gptoss20b,
+      title={gpt-oss-20b Model Card}, 
+      author={OpenAI},
+      year={2025},
+      eprint={2508.10925},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2508.10925}, 
+}
+
+@misc{gptoss20b-abliterated,
+  author = {aoxo},
+  title = {Uncensoring GPT-OSS-20B: Abliteration},
+  year = {2025},
+  howpublished = {\url{https://medium.com/@aloshdenny/uncensoring-gpt-oss-20b-abliteration}},
+}
+```
+
+### Contact
+
+For questions, feedback, or collaborations, contact the maintainer at [aloshdenny@gmail.com](mailto:aloshdenny@gmail.com).