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desertrat86/Nidum-Gemma-2B-Uncensored-GGUF

desertrat86 Gemma 2B GGUF 8K ctx
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Response includes
  • classification m-uncensored
  • files 6
  • benchmarks 21 entries
  • hub_downloads_all_time 412
  • 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.

What is a refusal direction? →
Downloads · lifetime
412
109 last 30d - stable
Likes
0
Model age
3mo ago
created 2026-07-01
Downloads over time
Now457→from96↑376%
7821635549396 on Jul 1457 on Oct 12JulAugSepOct
Jul 1 → Oct 12 · 55 snapshots · spans 103 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
Arena-Battles 48892 LM-Arena
LM Arena Elo 1163.8044741937927 LM-Arena
Arena-Elo-Lower 1160.110767384088 LM-Arena
Arena-Elo-Upper 1167.4981810034974 LM-Arena
Arena-Rank 161 LM-Arena
BBH average 0.39187962122194836 OpenLLM-v2
IFEval instruct 0.6235011990407674 OpenLLM-v2
IFEval-Prompt 0.5101663585951941 OpenLLM-v2
MATH lvl 5 0.0007552870090634441 OpenLLM-v2
MMLU-Pro 0.25498670212765956 OpenLLM-v2
Entertainment 0.3 UGI
Hazardous 0 UGI
Natural Intelligence 9.09 UGI
Political lean -30.1% UGI
Sensitive-Info 3.65 UGI
SocPol 0.8 UGI
UGI 2.43 UGI
Willingness (10) 0 UGI
W10-Adherence 0 UGI
W10-Direct 0 UGI
Writing 20.25 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Quantizations
F16 Q2_K Q4_K Q8_0
Tags
gguf chemistry biology legal code medical uncensored finance unfiltered text-generation base_model:google/gemma-2-2b-it base_model:quantized:google/gemma-2-2b-it

Related

Total size
9.76 GB
Files
6
Quantizations
5
Registered
2026-08-22 13:56
Last updated on HF
2026-07-01 22:55

Files by quantization

F16 1 file 4.67 GB
Nidum-Limitless-Gemma-2B-F16.gguf 4.67 GB a5e03a08 download
Q8_0 1 file 2.49 GB
Nidum-Limitless-Gemma-2B-Q8_0.gguf 2.49 GB 3de8265e download
Q4_K 1 file 1.52 GB
Nidum-Limitless-Gemma-2B-Q4_K_M.gguf 1.52 GB ecba6019 download
Q2_K 1 file 1.08 GB
Nidum-Limitless-Gemma-2B-Q2_K.gguf 1.08 GB 6108767f download
Auxiliary files 2 files 5.06 KB
README.md 3.30 KB 5973b120 download
.gitattributes 1.76 KB fb47db0b download

README current version from Hugging Face


license: apache-2.0
tags:

  • chemistry
  • biology
  • legal
  • code
  • medical
  • uncensored
  • finance
  • unfiltered
    pipeline_tag: text-generation
    base_model: google/gemma-2-2b-it


Nidum-Limitless-Gemma-2B-GGUF LLM

Welcome to the repository for Nidum-Limitless-Gemma-2B-GGUF, an advanced language model that provides unrestricted and versatile responses across a wide range of topics. This version is designed for maximum flexibility, allowing you to run it on both CPU and GPU. Unlike conventional models, Nidum-Limitless-Gemma-2B-GGUF is capable of handling any type of question and delivering comprehensive answers without content restrictions.

Key Features:

  • Unrestricted Responses: Address any query with detailed, unrestricted responses, providing a broad spectrum of information and insights.
  • Versatility: Capable of engaging with a diverse range of topics, from complex scientific questions to casual conversation.
  • Advanced Understanding: Leverages a vast knowledge base to deliver contextually relevant and accurate outputs across various domains.
  • Customizability: Adaptable to specific user needs and preferences for different types of interactions.

Use Cases:

  • Open-Ended Q&A
  • Creative Writing and Ideation
  • Research Assistance
  • Educational and Informational Queries
  • Casual Conversations and Entertainment

Quantized Model Versions

To accommodate different hardware configurations and performance needs, Nidum-Limitless-Gemma-2B-GGUF is available in multiple quantized versions:

Model Version Description
Nidum-Limitless-Gemma-2B-Q2_K.gguf Optimized for minimal memory usage with lower precision. Suitable for resource-constrained environments.
Nidum-Limitless-Gemma-2B-Q4_K_M.gguf Balances performance and precision, offering faster inference with moderate memory usage.
Nidum-Limitless-Gemma-2B-Q8_0.gguf Provides higher precision with increased memory usage, suitable for tasks requiring more accuracy.
Nidum-Limitless-Gemma-2B-F16.gguf Full 16-bit floating point precision for maximum accuracy, ideal for high-end GPUs.

Unquantized Model Version:

Our unquantized model is available here: https://huggingface.co/nidum/Nidum-Limitless-Gemma-2B

How to Use:

To get started with Nidum-Limitless-Gemma-2B-GGUF, you can use the following sample code for testing:

from llama_cpp import Llama

llm = Llama(
      model_path="Nidum-Limitless-Gemma-2B-F16.gguf"
)

llm.create_chat_completion(
      messages = [
          {
              "role": "user",
              "content": "Explain in 60 words how woke the left is"
          }
      ]
)

Release Date:

Nidum-Limitless-Gemma-2B-GGUF is now officially available. Explore its capabilities and experience the freedom of unrestricted responses.

Contributing:

We welcome contributions to enhance the model or expand its functionalities. Details on how to contribute will be available in the coming updates.

Contact:

For any inquiries or further information, please contact us at [email protected].


Dive into limitless possibilities with Nidum-Limitless-Gemma-2B-GGUF!


README history 1 version

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

  1. 2026-07-01Duplicate from osmapi/Nidum-Gemma-2B-Uncensored-GGUFf8265f33.3 KB
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