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DismasK/My-Uncensored-14B

DismasK Qwen 14B
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Response includes
  • classification m5
  • files 2
  • benchmarks 16 entries
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • no abliteration marker
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 · 30-day
0
Likes
0
Model age
6w ago
created 2026-08-27
Downloads over time
Now0→from0↑0%
00110 on Aug 260 on Oct 11AugSepOct
Aug 26 → Oct 11 · 47 snapshots · spans 46 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
BBH average 0.5662212997794785 OpenLLM-v2
IFEval instruct 0.8441247002398081 OpenLLM-v2
IFEval-Prompt 0.7874306839186691 OpenLLM-v2
MATH lvl 5 0 OpenLLM-v2
MMLU-Pro 0.4904421542553192 OpenLLM-v2
Entertainment 1.8 UGI
Hazardous 1.2 UGI
Natural Intelligence 18.5 UGI
Political lean -14.3% UGI
Sensitive-Info 17.56 UGI
SocPol 2.2 UGI
UGI 24.21 UGI
Willingness (10) 3.8 UGI
W10-Adherence 4.5 UGI
W10-Direct 3 UGI
Writing 29.79 UGI

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
apache-2.0
Tags
merge mergekit lazymergekit Qwen/Qwen2.5-14B-Instruct cognitivecomputations/Dolphin3.0-R1-Qwen-14B base_model:Qwen/Qwen2.5-14B-Instruct base_model:finetune:Qwen/Qwen2.5-14B-Instruct license:apache-2.0 region:us

Related

Total size
0 B
Files
2
Quantizations
1
Registered
2026-08-27 03:02
Last updated on HF
2026-08-27 02:22

Files by quantization

Auxiliary files 2 files 2.97 KB
README.md 1.49 KB b7612453 download
.gitattributes 1.48 KB a6344aac download

README current version from Hugging Face


license: apache-2.0
base_model:

  • Qwen/Qwen2.5-14B-Instruct
  • cognitivecomputations/Dolphin3.0-R1-Qwen-14B
    tags:
  • merge
  • mergekit
  • lazymergekit
  • Qwen/Qwen2.5-14B-Instruct
  • cognitivecomputations/Dolphin3.0-R1-Qwen-14B

My-Uncensored-14B

My-Uncensored-14B is a merge of the following models using LazyMergekit:

🧩 Configuration

models:
  - model: Qwen/Qwen2.5-14B-Instruct
    parameters:
      weight: 0.5
  - model: cognitivecomputations/Dolphin3.0-R1-Qwen-14B
    parameters:
      weight: 0.5
merge_method: linear
dtype: float16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "DismasK/My-Uncensored-14B"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

README history 1 version

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

  1. 2026-08-27Upload folder using huggingface_hub6e810c01.5 KB
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