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mlx-community/Josiefied-Qwen3-4B-abliterated-v1-8bit

mlx-community Qwen 4.0B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mlx-community%2FJosiefied-Qwen3-4B-abliterated-v1-8bit"
Response includes
  • classification m1
  • files 11
  • benchmarks 11 entries
  • hub_downloads_all_time 478
  • author_summary 207 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
478
31 last 30d - cooling
Likes
0
Model age
17mo ago
created 2025-05-01
Downloads over time
Now491→from12↑3,992%
018035953912 on Apr 30, 2025491 on Oct 11Apr '25Jul '25Oct '25JanAprJulOct
Apr 30, 2025 → Oct 11 · 115 snapshots · spans 529 days

Benchmarks

Benchmark Score Source
Entertainment 1.2 UGI
Hazardous 1.8 UGI
Natural Intelligence 14.05 UGI
Political lean -19.0% UGI
Sensitive-Info 10.94 UGI
SocPol 0.5 UGI
UGI 33.96 UGI
Willingness (10) 8 UGI
W10-Adherence 9 UGI
W10-Direct 7 UGI
Writing 21.49 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
mlx safetensors qwen3 chat text-generation conversational base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1 base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1 8-bit region:us

Related

Total size
3.98 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-05-01 21:47

Files by quantization

Auxiliary files 11 files 4.00 GB
model.safetensors 3.98 GB 8e55bbc3 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 62.4 KB a221363c download
tokenizer_config.json 9.48 KB 7345216a download
.gitattributes 1.53 KB 52373fe2 download
README.md 989 B 48774589 download
config.json 937 B 7033b489 download
added_tokens.json 707 B b54f9135 download
special_tokens_map.json 613 B ac23c0aa download

README current version from Hugging Face


tags:

  • chat
  • mlx
    base_model: Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1
    pipeline_tag: text-generation
    library_name: mlx

mlx-community/Josiefied-Qwen3-4B-abliterated-v1-8bit

This model mlx-community/Josiefied-Qwen3-4B-abliterated-v1-8bit was
converted to MLX format from Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1
using mlx-lm version 0.24.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

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

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, 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. 2025-05-01Add files using upload-large-folder toolfd01982989 B
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