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

Honkware/Wizard-Vicuna-13B-Uncensored-SpQR

Honkware Llama 13B
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/Honkware%2FWizard-Vicuna-13B-Uncensored-SpQR"
Response includes
  • classification m-uncensored
  • files 9
  • hub_downloads_all_time 309
  • author_summary 2 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 · lifetime
309
18 last 30d - cooling
Likes
1
Model age
3.3y ago
created 2023-07-09
Downloads over time
Now315→from14↑2,150%
011523134614 on Jul 24, 2024315 on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

License
other
Tags
transformers llama text-generation license:other model-index endpoints_compatible region:us

Related

Total size
24.2 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-07-10 03:32

Files by quantization

Auxiliary files 9 files 24.2 GB
Wizard-Vicuna-13B-Uncensored-SpQR.safetensors 24.2 GB 79d57131 download
tokenizer.json 1.76 MB 6066a482 download
tokenizer.model 488 KB 9e556afd download
.gitattributes 1.48 KB a6344aac download
README.md 1.44 KB ec511900 download
tokenizer_config.json 727 B 5ab645d5 download
config.json 613 B 12ac1ebe download
special_tokens_map.json 435 B f928b240 download
generation_config.json 132 B 9eadab41 download

README current version from Hugging Face


license: other
model-index:

  • name: Wizard-Vicuna-13B-Uncensored-SpQR
    results:
    • task:
      type: text-generation-inference
      name: Text Generation
      dataset:
      type: c4
      name: C4
      metrics:
      • type: perplexity
        value: 7.354
    • task:
      type: text-generation-inference
      name: Text Generation
      dataset:
      type: wikitext2
      name: WikiText-2
      metrics:
      • type: perplexity
        value: 5.685
    • task:
      type: text-generation-inference
      name: Text Generation
      dataset:
      type: ptb
      name: PTB
      metrics:
      • type: perplexity
        value: 20.822

pipeline_tag: text-generation

Wizard-Vicuna-13B-Uncensored-SpQR

Overview

This model is an SpQR 4-bit quantization of the original Wizard-Vicuna-13B-Uncensored-HF

Quantization Specifications

  • Quantization: 4-bit, group size of 16, per-channel with scale and zero-point of 3 bits.
  • Outliers: Threshold set at 0.2.
  • Permutation Order: act_order.
  • Dampening: Set at 1e0.
  • Sampling: 128 samples.
  • Logging: Via Weights & Biases.

Evaluation Metrics

The following perplexity scores were obtained on various datasets:

Dataset Perplexity
c4 7.354
wikitext2 5.685
ptb 20.822

README history 8 versions

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

  1. 2023-07-10Update README.md893e6f41.4 KB
    Loading...
  2. 2023-07-09Update README.mdd884be21.4 KB
    Loading...
  3. 2023-07-09Update README.mdbad5b0b1.5 KB
    Loading...
  4. 2023-07-09Update README.mdf24b28a1.5 KB
    Loading...
  5. 2023-07-09Update README.md19343c31.5 KB
    Loading...
  6. 2023-07-09Update README.md08fbe131.5 KB
    Loading...
  7. 2023-07-09Update README.md33f2fce1.5 KB
    Loading...
  8. 2023-07-09initial commit4607d6923 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