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

RachidAR/WizardLM-Uncensored-SCOT-ST-30B-Q3_K_S-GGML

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/RachidAR%2FWizardLM-Uncensored-SCOT-ST-30B-Q3_K_S-GGML"
Response includes
  • classification m-uncensored
  • files 3
  • author_summary 3 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · 30-day
0
Likes
8
Model age
3.4y ago
created 2023-06-05
Downloads over time
Now0→from0↑0%
00110 on Jul 24, 20240 on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

License
other
Tags
license:other region:us

Related

Total size
13.1 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-06-06 05:30

Files by quantization

Auxiliary files 3 files 13.1 GB
Wizardlm30B-Unc-SCOT-ST-q3_K_S.bin 13.1 GB ad787d75 download
.gitattributes 1.44 KB c7d9f333 download
README.md 782 B 17face53 download

README current version from Hugging Face


inference: false
license: other

Monero's WizardLM-Uncensored-SuperCOT-Storytelling-30B GGML

These files are GGML format model files for Monero's WizardLM-Uncensored-SuperCOT-Storytelling-30B.

Works with latest llama.cpp version. (05/06/23 build = 622)

Prompt template

Optional instruction ("You are a helpful assistant" etc)
USER: prompt
ASSISTANT:

The quality of the 3-bit model is higher than the 2-bit model, but the interface is slower. The 3-bit model (type q3_K_S) barely fits into 16 GB of RAM, but it works.

llama_model_load_internal: mem required  = 15716.00 MB (+ 3124.00 MB per state) 

On my Xeon E3-1225 v3 4/8 old cpu, it runs with ~740 ms per token.

README history 4 versions

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

  1. 2023-06-06Update README.md44f8f19782 B
    Loading...
  2. 2023-06-06Update README.md74048d1782 B
    Loading...
  3. 2023-06-05Update README.mde2431bb796 B
    Loading...
  4. 2023-06-05Create README.md40b6651803 B
    Loading...

Discussions 1 thread

  1. 2023-06-05Q3_K_M quantizationopen3 💬#1
    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