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mlx-community/Josiefied-Qwen3-30B-A3B-abliterated-v2-4bit

mlx-community Qwen 31B MoE second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mlx-community%2FJosiefied-Qwen3-30B-A3B-abliterated-v2-4bit"
Response includes
  • classification m1
  • files 16
  • benchmarks 11 entries
  • hub_downloads_all_time 4,679
  • 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
5K
405 last 30d - cooling
Likes
2
Model age
15mo ago
created 2025-06-19
Downloads over time
Now4.8K→from432↑1,019%
2121.9K3.6K5.3K432 on Jul 9, 20254.8K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 9, 2025 → Oct 11 · 105 snapshots · spans 459 days

Benchmarks

Benchmark Score Source
Entertainment 1.3 UGI
Hazardous 2.4 UGI
Natural Intelligence 14.76 UGI
Political lean -15.8% UGI
Sensitive-Info 15.7 UGI
SocPol 1.3 UGI
UGI 37.97 UGI
Willingness (10) 8.2 UGI
W10-Adherence 9.5 UGI
W10-Direct 7 UGI
Writing 24.98 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_moe chat text-generation conversational base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-30B-A3B-abliterated-v2 base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-30B-A3B-abliterated-v2 4-bit region:us

Related

Total size
16.0 GB
Files
16
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-06-19 20:21

Files by quantization

Auxiliary files 16 files 16.0 GB
model-00002-of-00004.safetensors 5.00 GB e684e564 download
model-00001-of-00004.safetensors 4.95 GB 6b6cf799 download
model-00003-of-00004.safetensors 4.91 GB ac23a0e5 download
model-00004-of-00004.safetensors 1.13 GB 17af30dd 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 117 KB 3d1ca6e6 download
tokenizer_config.json 5.30 KB 27fb9346 download
chat_template.jinja 4.02 KB 699ff8df download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.22 KB 833b6845 download
README.md 1.00 KB 38f08177 download
added_tokens.json 707 B b54f9135 download
special_tokens_map.json 613 B ac23c0aa download
generation_config.json 237 B da2c01ad download

README current version from Hugging Face


tags:

  • chat
  • mlx
    base_model: Goekdeniz-Guelmez/Josiefied-Qwen3-30B-A3B-abliterated-v2
    pipeline_tag: text-generation
    library_name: mlx

mlx-community/Josiefied-Qwen3-30B-A3B-abliterated-v2-4bit

This model mlx-community/Josiefied-Qwen3-30B-A3B-abliterated-v2-4bit was
converted to MLX format from Goekdeniz-Guelmez/Josiefied-Qwen3-30B-A3B-abliterated-v2
using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Josiefied-Qwen3-30B-A3B-abliterated-v2-4bit")

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. 2025-06-19Add files using upload-large-folder toolf7dbd271 KB
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