language:
- pl
datasets:- Lajonbot/alpaca-dolly-chrisociepa-instruction-only-polish
license: other
model_type: llama-2
pipeline_tag: text-generation
tags:
- Lajonbot/alpaca-dolly-chrisociepa-instruction-only-polish
- meta
- pytorch
- llama
- llama-2
Aspik101/WizardVicuna-Uncensored-3B-instruct-PL-lora_unload
Your rig
guess connected
? Why do I need an app?
The browser can't see your hardware
For privacy reasons a browser tells us at most "≥ 8 GB RAM, 8 cores" - same reading whether you have 8 GB or 128 GB. It has no idea how much RAM is free right now, which apps are open, or whether you have a GPU.
The Abliteration app is integrated with your machine
It reads your exact RAM, GPU model and VRAM, free memory right now, and picks the sharpest quant that still fits. Every model page lights up precisely for your rig.
And you can chat with any model, right now
The app is a full local runtime - no API keys, no subscription, everything runs on your machine. Click any model on this site and start a conversation in seconds.
Get the free 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/Aspik101%2FWizardVicuna-Uncensored-3B-instruct-PL-lora_unload" Response includes
- classification m-uncensored
- files 9
- hub_downloads_all_time 53,740
- author_summary 6 models
- readme_text full
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
54K
199 last 30d
- cooling
Likes
1
Model age
3.2y ago
created 2023-08-07
Downloads over time
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days
Metadata
Related
Files by quantization
Auxiliary files 9 files 6.38 GB
| pytorch_model.bin | 6.38 GB | 75c303aa | download |
| tokenizer.json | 1.89 MB | 374df5fe | download |
| tokenizer.model | 522 KB | ab1b681e | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| tokenizer_config.json | 718 B | 3899984c | download |
| config.json | 643 B | 5daf7f39 | download |
| special_tokens_map.json | 434 B | 1e1a9978 | download |
| README.md | 211 B | 4085638d | download |
| generation_config.json | 137 B | 8c88a8f5 | download |
README
README history
The author's README evolved over time. Click a version to see its content at that point.
2023-08-07Hubert commit
Loading...
Discussions
2024-03-28PRAdding Evaluation Results
Loading...2023-11-17PRAdding Evaluation Results
Loading...2023-08-07PRAdding `safetensors` variant of this model
Loading...