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NeshVerse/Uncensored_Nanbeige-4.1-3B-Q8_0-GGUF

NeshVerse 3B GGUF second-order 262K ctx
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Response includes
  • classification m-uncensored
  • files 3
  • hub_downloads_all_time 352
  • author_summary 13 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 · lifetime
352
33 last 30d - cooling
Likes
2
Model age
7mo ago
created 2026-02-16
Downloads over time
Now361→from101↑257%
88188287387101 on Feb 18361 on Oct 11FebAprJunAugOct
Feb 18 → Oct 11 · 73 snapshots · spans 235 days

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
gguf llama-cpp gguf-my-repo base_model:NeshVerse/Uncensored_Nanbeige-4.1-3B base_model:quantized:NeshVerse/Uncensored_Nanbeige-4.1-3B license:apache-2.0 endpoints_compatible region:us

Related

Total size
3.90 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-02-16 09:16

Files by quantization

Auxiliary files 3 files 3.90 GB
uncensored_nanbeige-4.1-3b-q8_0.gguf 3.90 GB 7a0b6786 download
README.md 1.83 KB 1f54ba44 download
.gitattributes 1.55 KB 532569dd download

README current version from Hugging Face


license: apache-2.0
base_model: NeshVerse/Uncensored_Nanbeige-4.1-3B
tags:

  • llama-cpp
  • gguf-my-repo

NeshVerse/Uncensored_Nanbeige-4.1-3B-Q8_0-GGUF

This model was converted to GGUF format from NeshVerse/Uncensored_Nanbeige-4.1-3B using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo NeshVerse/Uncensored_Nanbeige-4.1-3B-Q8_0-GGUF --hf-file uncensored_nanbeige-4.1-3b-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo NeshVerse/Uncensored_Nanbeige-4.1-3B-Q8_0-GGUF --hf-file uncensored_nanbeige-4.1-3b-q8_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo NeshVerse/Uncensored_Nanbeige-4.1-3B-Q8_0-GGUF --hf-file uncensored_nanbeige-4.1-3b-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo NeshVerse/Uncensored_Nanbeige-4.1-3B-Q8_0-GGUF --hf-file uncensored_nanbeige-4.1-3b-q8_0.gguf -c 2048

README history 1 version

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

  1. 2026-02-16Upload README.md with huggingface_hub1d08eb21.8 KB
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