← back to catalog · registered 2026-08-22 13:56

hobaratio/Josiefied-Qwen3-8B-abliterated-v1-mlx-6Bit

hobaratio Qwen 8.2B second-order
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/hobaratio%2FJosiefied-Qwen3-8B-abliterated-v1-mlx-6Bit"
Response includes
  • classification m1
  • files 14
  • benchmarks 11 entries
  • hub_downloads_all_time 415
  • author_summary 1 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
415
20 last 30d - cooling
Likes
0
Model age
11mo ago
created 2025-10-26
Downloads over time
Now423→from151↑180%
137242346450151 on Oct 29, 2025423 on Oct 11Oct '25Dec '25FebAprJunAugOct
Oct 29, 2025 → Oct 11 · 89 snapshots · spans 347 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
6.20 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-10-26 14:30

Files by quantization

Auxiliary files 14 files 6.21 GB
model-00001-of-00002.safetensors 5.00 GB 6dbac630 download
model-00002-of-00002.safetensors 1.20 GB 2ebbb269 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 75.9 KB 82041219 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 1.05 KB 659cfa31 download
config.json 939 B 60195d61 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

hobaratio/Josiefied-Qwen3-8B-abliterated-v1-mlx-6Bit

The Model hobaratio/Josiefied-Qwen3-8B-abliterated-v1-mlx-6Bit was converted to MLX format from Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 using mlx-lm version 0.26.4.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("hobaratio/Josiefied-Qwen3-8B-abliterated-v1-mlx-6Bit")

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. 2025-10-26Upload README.md with huggingface_hub006be621 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration