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MishraNepali/Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW-Q2_K

MishraNepali GGUF second-order
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  • classification m-uncensored
  • files 3
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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
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Downloads · 30-day
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Model age
1d ago
created 2026-10-25

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Quantizations
Q2_K
Tags
llama.cpp gguf quantized cybersecurity uncensored converted q2_K text-generation base_model:Mantis2024/Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW base_model:quantized:Mantis2024/Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW license:apache-2.0 endpoints_compatible

Related

Total size
3.54 GB
Files
3
Quantizations
2
Registered
2026-10-27 02:01
Last updated on HF
2026-10-25 23:09

Files by quantization

Q2_K 1 file 3.54 GB
dirty-Q2_K.gguf 3.54 GB 971a18ce download
Auxiliary files 2 files 2.87 KB
.gitattributes 1.53 KB fde3d45e download
README.md 1.34 KB e1af3bbf download

README current version from Hugging Face


license: apache-2.0
library_name: llama.cpp
pipeline_tag: text-generation
tags:

  • gguf
  • quantized
  • cybersecurity
  • uncensored
  • converted
  • q2_K
    base_model: Mantis2024/Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW

Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW-Q2_K

Credits & License

This is a quantized and converted from safetensors to *.gguf version of an existing *.safetensor model. (And size of it converted from 18.5 to 3.81GB)
So it can be used on CPU with 8GB of RAM (better 16GB. Also can be run on Google Colab).

Lineage:

My Contribution:

  • Convert from safetensors to *.gguf
  • Quantized that GGUF file into Q2_K formats to reduce RAM usage for inference.
  • Alarm: Quantized version can hallucinate.
  • Recommended context window: 2048 tokens (or higher if hardware permits).
    License:
    This derivative work is distributed under the Apache 2.0 license, inherited from the original model.
    Please refer to the original model card for full terms and disclaimer.

Donation address (if you want to see more quantized uncensored models - or in future create of more uncensored model):
1Kk32KvJVjcyTMZ44eos4eZtme1quTqFAg (BTC)

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