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louisabraham/Wizard-Vicuna-13B-Uncensored-NF4

louisabraham 13B
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Response includes
  • classification m-uncensored
  • files 5
  • hub_downloads_all_time 24
  • author_summary 1 models
  • readme_text full
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What "m-uncensored" means · taxonomy
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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
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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.

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Downloads · lifetime
24
12 last 30d - active
Likes
0
Model age
3.1y ago
created 2023-09-14
Downloads over time
Now30→from0↑0%
01531460 on Jul 24, 202430 on Oct 1142 on Dec 24, 2025Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

Tags
peft region:us
Total size
25.1 MB
Files
5
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-09-14 15:31
Source huggingface.co/louisabraham/Wizard-Vicuna-13B-Uncensored-NF4 ↗

Files by quantization

Auxiliary files 5 files 25.1 MB
adapter_model.bin 25.1 MB 4b432d9c download
training_args.bin 3.93 KB d164a1bc download
.gitattributes 1.48 KB a6344aac download
README.md 863 B 5a1a8e25 download
adapter_config.json 462 B 6c9be533 download

README current version from Hugging Face

library_name: peft

Training procedure

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • load_in_8bit: False
  • load_in_4bit: True
  • llm_int8_threshold: 6.0
  • llm_int8_skip_modules: None
  • llm_int8_enable_fp32_cpu_offload: False
  • llm_int8_has_fp16_weight: False
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: True
  • bnb_4bit_compute_dtype: bfloat16

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • load_in_8bit: False
  • load_in_4bit: True
  • llm_int8_threshold: 6.0
  • llm_int8_skip_modules: None
  • llm_int8_enable_fp32_cpu_offload: False
  • llm_int8_has_fp16_weight: False
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: True
  • bnb_4bit_compute_dtype: bfloat16

Framework versions

  • PEFT 0.6.0.dev0

  • PEFT 0.6.0.dev0

README history 2 versions

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

  1. 2023-09-14Upload folder using huggingface_hubfdc29bb863 B
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  2. 2023-09-14Upload folder using huggingface_hube2afcd4469 B
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Discussions 1 thread

  1. 2023-09-19PRLibrarian Bot: Add base_model information to modelopen1 💬#1
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