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

RogerS-01/Josiefied-Qwen3-8B-abliterated-v1-awq-asym

RogerS-01 Qwen 8B 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/RogerS-01%2FJosiefied-Qwen3-8B-abliterated-v1-awq-asym"
Response includes
  • classification m1
  • files 15
  • benchmarks 11 entries
  • hub_downloads_all_time 159
  • author_summary 3 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
159
11 last 30d - cooling
Likes
0
Model age
13mo ago
created 2025-08-24
Downloads over time
Now164→from8↑1,950%
0601201808 on Aug 27, 2025164 on Oct 11Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 27, 2025 → Oct 11 · 98 snapshots · spans 410 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
pytorch qwen3 base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 compressed-tensors region:us

Related

Total size
5.68 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-08-25 19:32

Files by quantization

Auxiliary files 15 files 5.69 GB
pytorch_model-00001-of-00002.bin 4.52 GB 58fe372d download
pytorch_model-00002-of-00002.bin 1.16 GB bec1f673 download
tokenizer.json 10.9 MB aeb13307 download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
pytorch_model.bin.index.json 99.4 KB 802053a0 download
tokenizer_config.json 5.28 KB ddaf6980 download
chat_template.jinja 4.02 KB 699ff8df download
config.json 2.37 KB ddb1de7c download
.gitattributes 1.53 KB 52373fe2 download
added_tokens.json 707 B b54f9135 download
special_tokens_map.json 613 B ac23c0aa download
recipe.yaml 553 B 229c7043 download
README.md 301 B 2d19d2c1 download
generation_config.json 214 B ec7a19e7 download

README current version from Hugging Face

README history 2 versions

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

  1. 2025-08-25Update README.md5b41fd8301 B
    Loading...
  2. 2025-08-24Create README.md40b02fe158 B
    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