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RavenQuest666/Uncensored_llama_3.2_3b-xxx-Q4_K_M-GGUF

RavenQuest666 Llama 3B GGUF second-order 131K ctx
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Response includes
  • classification m-uncensored
  • files 3
  • hub_downloads_all_time 635
  • 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 · lifetime
635
60 last 30d - cooling
Likes
0
Model age
15mo ago
created 2025-06-28
Downloads over time
Now672→from332↑102%
315445576706332 on Jan 21672 on Oct 11JanMarMayJulSep
Jan 21 → Oct 11 · 77 snapshots · spans 263 days

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

Tags
transformers gguf llama-cpp gguf-my-repo endpoints_compatible region:us not-for-all-audiences
Total size
1.88 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-06-28 16:36

Files by quantization

Auxiliary files 3 files 1.88 GB
uncensored_llama_3.2_3b-xxx-q4_k_m.gguf 1.88 GB 19203b6e download
README.md 1.88 KB 4572143e download
.gitattributes 1.56 KB df6eb7e7 download

README current version from Hugging Face


library_name: transformers
tags:

  • llama-cpp
  • gguf-my-repo
    base_model: DamianQuest/Uncensored_llama_3.2_3b-xxx

DamianQuest/Uncensored_llama_3.2_3b-xxx-Q4_K_M-GGUF

This model was converted to GGUF format from DamianQuest/Uncensored_llama_3.2_3b-xxx 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 DamianQuest/Uncensored_llama_3.2_3b-xxx-Q4_K_M-GGUF --hf-file uncensored_llama_3.2_3b-xxx-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo DamianQuest/Uncensored_llama_3.2_3b-xxx-Q4_K_M-GGUF --hf-file uncensored_llama_3.2_3b-xxx-q4_k_m.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 DamianQuest/Uncensored_llama_3.2_3b-xxx-Q4_K_M-GGUF --hf-file uncensored_llama_3.2_3b-xxx-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo DamianQuest/Uncensored_llama_3.2_3b-xxx-Q4_K_M-GGUF --hf-file uncensored_llama_3.2_3b-xxx-q4_k_m.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. 2025-06-28Upload README.md with huggingface_hub3f898e51.9 KB
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