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introvoyz041/Josiefied-Qwen3-8B-abliterated-v1-mlx-4Bit

introvoyz041 Qwen 8.2B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/introvoyz041%2FJosiefied-Qwen3-8B-abliterated-v1-mlx-4Bit"
Response includes
  • classification m1
  • files 13
  • benchmarks 11 entries
  • hub_downloads_all_time 390
  • author_summary 9 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
390
30 last 30d - cooling
Likes
0
Model age
10mo ago
created 2025-11-27
Downloads over time
Now402→from77↑422%
6118531043577 on Nov 26, 2025402 on Oct 11402 on Oct 8Nov '25JanMarMayJulSep
Nov 26, 2025 → Oct 11 · 85 snapshots · spans 319 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

Full fork graph →

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

Metadata

Tags
transformers safetensors qwen3 text-generation chat mlx mlx-my-repo conversational base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 text-generation-inference endpoints_compatible

Related

Total size
4.29 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-11-27 21:37

Files by quantization

Auxiliary files 13 files 4.31 GB
model.safetensors 4.29 GB c9417c5b download
tokenizer.json 10.9 MB aeb13307 download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
model.safetensors.index.json 62.6 KB d5bad744 download
tokenizer_config.json 5.28 KB ddaf6980 download
chat_template.jinja 4.02 KB 699ff8df download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.06 KB 0df9de0d download
config.json 991 B c5d2c550 download
added_tokens.json 707 B b54f9135 download
special_tokens_map.json 613 B ac23c0aa download
generation_config.json 214 B e4f1d319 download

README current version from Hugging Face


tags:

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

introvoyz041/Josiefied-Qwen3-8B-abliterated-v1-mlx-4Bit

The Model introvoyz041/Josiefied-Qwen3-8B-abliterated-v1-mlx-4Bit was converted to MLX format from Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("introvoyz041/Josiefied-Qwen3-8B-abliterated-v1-mlx-4Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

README history 1 version

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

  1. 2025-11-27Upload README.md with huggingface_hub4f656c01.1 KB
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