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Guilherme34/Samantha-OS1-llama2-13b-chat-lora-uncensored

Guilherme34 Llama 13B
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/Guilherme34%2FSamantha-OS1-llama2-13b-chat-lora-uncensored"
Response includes
  • classification m-uncensored
  • files 4
  • hub_downloads_all_time 147
  • author_summary 15 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
How we label → About M-U →
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
147
6 last 30d - cooling
Likes
1
Model age
2.9y ago
created 2023-11-28
Downloads over time
Now148→from11↑1,245%
05410916311 on Jul 24, 2024148 on Oct 11148 on Oct 8Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

Tags
peft region:us

Related

Other by Guilherme34
Medra4b-abliterated-i1-VISION-GGUF 870 Llama-3.2-11b-vision-uncensored-notlora 278 GPT-OSS-UNCENSORED-20B-gguf 140 Hermes-3-Llama-3.1-70B-Uncensored 126 Darwin-36B-Opus-ABLITERATED-HERETIC 102
Total size
200 MB
Files
4
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-11-28 14:11
Source huggingface.co/Guilherme34/Samantha-OS1-llama2-13b-chat-lora-uncensored ↗

Files by quantization

Auxiliary files 4 files 200 MB
adapter_model.bin 200 MB 8c71fa90 download
.gitattributes 1.48 KB a6344aac download
README.md 795 B 78e366ae download
adapter_config.json 447 B 4923f310 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 0.4.0

  • PEFT 0.4.0

README history 1 version

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

  1. 2023-11-28Upload model74214ee795 B
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