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

piratos/ct2fast-WizardLM-1.0-Uncensored-Llama2-13b

piratos 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/piratos%2Fct2fast-WizardLM-1.0-Uncensored-Llama2-13b"
Response includes
  • classification m-uncensored
  • files 9
  • hub_downloads_all_time 100
  • author_summary 1 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
100
8 last 30d - cooling
Likes
0
Model age
3.2y ago
created 2023-08-13

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now103→from2↑5,050%
038761132 on Jul 24, 2024103 on Oct 11103 on Oct 8Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

License
llama2
Languages
en
Tags
transformers en dataset:ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split license:llama2 endpoints_compatible region:us
Total size
12.1 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-08-13 15:46

Files by quantization

Auxiliary files 9 files 12.1 GB
model.bin 12.1 GB 51b7762e download
tokenizer.json 1.76 MB 67a2e09f download
vocabulary.json 497 KB 86332a58 download
.gitattributes 1.48 KB a6344aac download
README.md 1.11 KB 4bbedd23 download
tokenizer_config.json 727 B 400e3de6 download
special_tokens_map.json 411 B d85ba6cb download
generation_config.json 162 B 57dbab30 download
config.json 102 B bd727e84 download

README current version from Hugging Face


license: llama2
datasets:

  • ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
    language:
  • en

This is a retraining of https://huggingface.co/WizardLM/WizardLM-13B-V1.0 with a filtered dataset, intended to reduce refusals, avoidance, and bias.

Note that LLaMA itself has inherent ethical beliefs, so there's no such thing as a "truly uncensored" model. But this model will be more compliant than WizardLM/WizardLM-13B-V1.0.

Shout out to the open source AI/ML community, and everyone who helped me out.

Note: An uncensored model has no guardrails. You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous object such as a knife, gun, lighter, or car. Publishing anything this model generates is the same as publishing it yourself. You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.

Like WizardLM/WizardLM-13B-V1.0, this model is trained with Vicuna-1.1 style prompts.

You are a helpful AI assistant.

USER: <prompt>
ASSISTANT:

README history 1 version

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

  1. 2023-08-13Add filesd5c6b4a1.1 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