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hamsic/DeepSeek-R1-Distill-Qwen-1.5B-uncensored-RK3588

hamsic Qwen 1.5B
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/hamsic%2FDeepSeek-R1-Distill-Qwen-1.5B-uncensored-RK3588"
Response includes
  • classification m-uncensored
  • files 2
  • benchmarks 5 entries
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · 30-day
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Likes
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Model age
16mo ago
created 2025-06-01
Downloads over time
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00110 on May 28, 20250 on Oct 11May '25Aug '25Nov '25FebMayAug
May 28, 2025 → Oct 11 · 111 snapshots · spans 501 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
BBH average 0.31521598132053447 OpenLLM-v2
IFEval instruct 0.4172661870503597 OpenLLM-v2
IFEval-Prompt 0.2754158964879852 OpenLLM-v2
MATH lvl 5 0 OpenLLM-v2
MMLU-Pro 0.11868351063829788 OpenLLM-v2

Genealogy 0 direct forks

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Metadata

License
mit
Tags
base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B base_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B license:mit region:us

Related

Total size
0 B
Files
2
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-06-01 04:19

Files by quantization

Auxiliary files 2 files 5.12 KB
README.md 3.64 KB 00f1a30d download
.gitattributes 1.48 KB a6344aac download

README current version from Hugging Face


license: mit
base_model:

  • deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

library_name: transformers
base_model:

  • deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
    pipeline_tag: text-generation

Model Card for DeepSeek-R1-Distill-Qwen-1.5B-Uncensored

Model Details

Model Description

DeepSeek-R1-Distill-Qwen-1.5B-Uncensored is a text-generation model designed to uphold the values of internet freedom and unrestricted access to information. By offering an uncensored approach, this model enables users to explore ideas, generate content, and engage in discussions without the constraints of over-moderated or filtered outputs. It prioritizes user autonomy and aligns with principles of free speech and open knowledge sharing.

  • Developed by: Thirdeye AI
  • Funded by: Thirdeye AI
  • Shared by: Thirdeye AI
  • Model type: Distilled Transformer-based Language Model
  • Language(s) (NLP): English
  • License: Apache 2.0
  • Finetuned from model: DeepSeek-R1-Distill-Qwen-1.5B

Model Sources


Uses

Direct Use

The model is intended for applications that demand openness and flexibility in generating creative, exploratory, or critical content. These include:

  • Free-form writing and storytelling
  • Open-ended discussions
  • Exploratory content generation for sensitive or nuanced topics

Downstream Use

Users can fine-tune this model for specialized domains where censorship-free text generation is required, such as:

  • Journalism and investigative research
  • Creative projects that push artistic boundaries
  • Academic applications exploring controversial or complex topics

Out-of-Scope Use

This model should not be used for harmful, illegal, or unethical activities. Users must comply with applicable laws and ensure that the model's outputs do not infringe on others' rights.


Bias, Risks, and Limitations

Risks

While the uncensored approach promotes freedom, it may produce outputs that are controversial, offensive, or factually inaccurate. Users must exercise discretion when interpreting the model's outputs and take responsibility for their use.

Recommendations

  • Use responsibly, especially in contexts where outputs could impact individuals or communities.
  • Employ content moderation or review processes for high-stakes applications.

The Case for Uncensored Models

Thirdeye AI believes in the transformative power of open models that respect user autonomy and internet freedom. In a world where over-moderation can stifle innovation and critical thought, uncensored models empower individuals to explore and create without artificial constraints. This aligns with our mission to advance free and open access to AI tools.

By releasing this model, we aim to support the following:

  • Freedom of Expression: Unrestricted AI tools enable users to articulate diverse perspectives and engage in meaningful conversations.
  • Transparency and Trust: Users deserve access to tools that operate openly, fostering accountability and understanding of AI behaviors.
  • Creative Empowerment: The absence of censorship allows for boundary-pushing content creation that might otherwise be suppressed.

How to Get Started with the Model

from transformers import pipeline

generator = pipeline("text-generation", model="thirdeyeai/DeepSeek-R1-Distill-Qwen-1.5B-uncensored")
response = generator("The importance of free speech is")
print(response)

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2025-06-01Update README.md17f2a903.6 KB
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  2. 2025-06-01initial commitafbf43f28 B
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