---
license: other
license_name: deepseek
license_link: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/blob/main/LICENSE
language:
  - en
pipeline_tag: text-generation
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
tags:
  - qwen2
  - deepseek
  - reasoning
  - uncensored
  - abliterated
  - chain-of-thought
library_name: transformers
---

# DeepSeek-R1-Distill-Qwen-32B Uncensored

An **abliterated** (uncensored) version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) — a 32B reasoning model with chain-of-thought capabilities, minus the safety refusals.

This combines DeepSeek-R1's strong reasoning with unrestricted output, making it useful for research requiring step-by-step analysis without artificial limitations.

## Quick Start

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "richardyoung/Deepseek-R1-Distill-Qwen-32b-uncensored"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

messages = [{"role": "user", "content": "Walk me through how RSA encryption works, step by step."}]
inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
outputs = model.generate(inputs, max_new_tokens=1024)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

## Model Details

- **Base model**: DeepSeek-R1-Distill-Qwen-32B (32 billion parameters)
- **Technique**: Abliteration — surgical removal of the refusal direction
- **Architecture**: Qwen2 (decoder-only transformer)
- **Context length**: 32,768 tokens
- **Key strength**: Chain-of-thought reasoning without safety guardrails

## Why This Model?

DeepSeek-R1 is one of the strongest open-source reasoning models. The distilled 32B version retains impressive chain-of-thought capabilities at a manageable size. Abliteration allows researchers to study the full range of the model's reasoning abilities without refusal interventions.

## Intended Use

Research on reasoning, alignment studies, education, and creative applications requiring step-by-step analysis.

## 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)