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Dietmar2020/WizardLM-1.0-Uncensored-Llama2-13b-GermanQuad

Dietmar2020 Llama 13B
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     "https://abliteration.org/api/v1/models/Dietmar2020%2FWizardLM-1.0-Uncensored-Llama2-13b-GermanQuad"
Response includes
  • classification m-uncensored
  • files 4
  • hub_downloads_all_time 31
  • author_summary 2 models
  • readme_text full
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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
31
6 last 30d - stable
Likes
0
Model age
3.2y ago
created 2023-08-15
Downloads over time
Now34→from0↑0%
02958870 on Jul 24, 202434 on Oct 1179 on Sep 24, 2025Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

Tags
peft region:us

Related

Other by Dietmar2020
WizardLM-1.0-Uncensored-Llama2-13b-GermanQuad-V2-16Bit_V3 21
Total size
200 MB
Files
4
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-08-15 13:31
Source huggingface.co/Dietmar2020/WizardLM-1.0-Uncensored-Llama2-13b-GermanQuad ↗

Files by quantization

Auxiliary files 4 files 200 MB
adapter_model.bin 200 MB c2bf9f16 download
.gitattributes 1.48 KB a6344aac download
README.md 805 B 5be2d4e3 download
adapter_config.json 466 B 4fe9cd01 download

README current version from Hugging Face

library_name: peft

Training procedure

The following bitsandbytes quantization config was used during training:

  • 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: False
  • bnb_4bit_compute_dtype: float16

The following bitsandbytes quantization config was used during training:

  • 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: False
  • bnb_4bit_compute_dtype: float16

Framework versions

  • PEFT 0.5.0.dev0

  • PEFT 0.5.0.dev0

README history 1 version

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

  1. 2023-08-15Upload modelc65fe57805 B
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Discussions 1 thread

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