abliteratedmodels.org

DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner

DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner is a abliterated and uncensored variant of nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored, published on Hugging Face by nicoboss. It is 7B parameters, single consumer GPU class and mit licence. It is distributed across 6 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 7.9K downloads.

Abliteration + uncensored fine-tune7BQwen4B – 10B7,9168

Specification

Model name
DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner
Publisher
nicoboss
Parameters
7B
Hardware class
4B – 10B — single consumer GPU
Licence
mit
Task
Unspecified
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, GGUF (imatrix)
First indexed
22 Jan 2025
Last updated
4 Aug 2026

Ablation technique

How DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner was modified, and what that implies.

Abliteration + uncensored fine-tune

Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.

Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.

From the publisher’s model card

This is a uncensored reasoning finetune of DeepSeek-R1-Distill-Qwen-7B to make it uncensored while keeping its reasoning capabilities.

Running it

Commands are templates — confirm the exact repository and quant file before use.

llama.cpp / GGUF
hf download jackklki990/DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner-GGUF --local-dir ./deepseek-r1-distill-qwen-7b-uncensored-reasoner
llama-cli -m ./deepseek-r1-distill-qwen-7b-uncensored-reasoner/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner --trust-remote-code

Downloads and variants (5)

Every published repository of DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner, including quantised re-releases by other authors.

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
  • Capability is inherited from nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored, not added by ablation — at 7B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
  • Declared licence is mit, but the terms that bind you are nicoboss/DeepSeek-R1-Distill-Qwen-7B-Uncensored’s — a re-release cannot grant more than its parent.

Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.

Metadata for DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with nicoboss, and does not independently verify publisher claims. See responsible use.