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

ethan1278/Wizard-Vicuna-7B-Uncensored-sharded-bf16

ethan1278 Llama 7B
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/ethan1278%2FWizard-Vicuna-7B-Uncensored-sharded-bf16"
Response includes
  • classification m-uncensored
  • files 17
  • hub_downloads_all_time 266
  • 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
266
18 last 30d - cooling
Likes
0
Model age
3.3y ago
created 2023-06-22
Downloads over time
Now272→from6↑4,433%
01001992996 on Jul 24, 2024272 on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

Tags
transformers pytorch llama text-generation text-generation-inference endpoints_compatible region:us

Related

Total size
12.6 GB
Files
17
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-06-22 02:35

Files by quantization

Auxiliary files 17 files 12.6 GB
pytorch_model-00003-of-00007.bin 1.85 GB f522af27 download
pytorch_model-00004-of-00007.bin 1.85 GB bfd55b21 download
pytorch_model-00002-of-00007.bin 1.85 GB 120549ad download
pytorch_model-00001-of-00007.bin 1.85 GB 4e485490 download
pytorch_model-00006-of-00007.bin 1.80 GB 4d6d6a9e download
pytorch_model-00005-of-00007.bin 1.80 GB 4d238d86 download
pytorch_model-00007-of-00007.bin 1.54 GB 5c95eba7 download
tokenizer.json 1.76 MB 047b553b download
tokenizer.model 488 KB 9e556afd download
pytorch_model.bin.index.json 26.2 KB 6e8526db download
.gitattributes 1.48 KB a6344aac download
tokenizer_config.json 676 B 4c387d77 download
config.json 599 B cb2fed48 download
special_tokens_map.json 435 B f928b240 download
README.md 162 B 1edca4c6 download
generation_config.json 137 B 505e57a2 download
added_tokens.json 21.0 B e41416dd download

README current version from Hugging Face

README history 1 version

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

  1. 2023-06-22Create README.md9047e82162 B
    Loading...

Discussions 1 thread

  1. 2025-04-29PRAdding `safetensors` variant of this modelopen1 💬#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