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wesley7137/llama13b-wizardlm-uncensored-medicaldialogue

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Response includes
  • classification m-uncensored
  • files 12
  • hub_downloads_all_time 20
  • author_summary 7 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
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
20
5 last 30d - stable
Likes
0
Model age
3.2y ago
created 2023-08-08
Downloads over time
Now22→from0↑0%
01123340 on Jul 24, 202422 on Oct 1231 on Sep 24, 2025Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 12 · 156 snapshots · spans 810 days

Metadata

Tags
peft region:us

Related

Total size
600 MB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-08-08 19:42

Files by quantization

Auxiliary files 12 files 602 MB
optimizer.pt 400 MB 7887fd4f download
adapter_model.bin 200 MB a13bfe93 download
rng_state.pth 14.2 KB 25e80454 download
training_args.bin 3.87 KB e9ea0632 download
scheduler.pt 627 B de7840bc download
tokenizer.json 1.76 MB 660a2f85 download
trainer_state.json 8.53 KB 6a03e471 download
.gitattributes 1.48 KB a6344aac download
README.md 805 B 5be2d4e3 download
tokenizer_config.json 676 B dea98ce1 download
adapter_config.json 466 B 4fe9cd01 download
special_tokens_map.json 434 B 1e1a9978 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. 2023-08-08Upload 11 files421eb9c805 B
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Discussions 1 thread

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