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JoriusZ/Josiefied-Qwen3-8B-abliterated-v1-Q8_0-GGUF

JoriusZ Qwen 8B GGUF second-order 41K ctx
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Response includes
  • classification m8
  • files 3
  • benchmarks 11 entries
  • hub_downloads_all_time 350
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
350
1 last 30d - cooling
Likes
0
Model age
9mo ago
created 2026-01-03
Downloads over time
Now350→from0↑0%
01282573850 on Dec 31, 2025350 on Oct 11350 on Sep 24Dec '25FebAprJunAugOct
Dec 31, 2025 → Oct 11 · 80 snapshots · spans 284 days

Benchmarks

Benchmark Score Source
Entertainment 1 UGI
Hazardous 2.4 UGI
Natural Intelligence 16.98 UGI
Political lean -18.2% UGI
Sensitive-Info 16.78 UGI
SocPol 1.9 UGI
UGI 40.36 UGI
Willingness (10) 8.8 UGI
W10-Adherence 8.5 UGI
W10-Direct 9 UGI
Writing 23.38 UGI

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 chat llama-cpp gguf-my-repo text-generation base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 endpoints_compatible region:us conversational

Related

Total size
8.11 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-01-03 09:52

Files by quantization

Auxiliary files 3 files 8.11 GB
josiefied-qwen3-8b-abliterated-v1-q8_0.gguf 8.11 GB ******** download
README.md 1.98 KB 20bf30cb download
.gitattributes 1.56 KB f079354f download

README current version from Hugging Face


tags:

  • chat
  • llama-cpp
  • gguf-my-repo
    base_model: Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1
    pipeline_tag: text-generation
    library_name: transformers

JoriusZ/Josiefied-Qwen3-8B-abliterated-v1-Q8_0-GGUF

This model was converted to GGUF format from Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 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 JoriusZ/Josiefied-Qwen3-8B-abliterated-v1-Q8_0-GGUF --hf-file josiefied-qwen3-8b-abliterated-v1-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo JoriusZ/Josiefied-Qwen3-8B-abliterated-v1-Q8_0-GGUF --hf-file josiefied-qwen3-8b-abliterated-v1-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 JoriusZ/Josiefied-Qwen3-8B-abliterated-v1-Q8_0-GGUF --hf-file josiefied-qwen3-8b-abliterated-v1-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo JoriusZ/Josiefied-Qwen3-8B-abliterated-v1-Q8_0-GGUF --hf-file josiefied-qwen3-8b-abliterated-v1-q8_0.gguf -c 2048
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