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nico248000000000/Huihui-ThinkingCap-Qwen3.6-27B-abliterated-cyber-LoRA

nico248000000000 Qwen 27B second-order
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Response includes
  • classification m1
  • files 8
  • author_summary 13 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

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.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · 30-day
11
↑ 267% in 90 days
Likes
0
Model age
2mo ago
created 2026-08-08
Downloads over time
Now11→from3↑267%
369123 on Aug 511 on Aug 3111 on Aug 26Aug
Aug 5 → Aug 31 · 9 snapshots · spans 26 days

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

Tags
peft safetensors base_model:adapter:huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated lora sft transformers trl unsloth text-generation conversational arxiv:1910.09700 base_model:huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated

Related

Total size
949 MB
Files
8
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-08 07:37

Files by quantization

Auxiliary files 8 files 969 MB
adapter_model.safetensors 949 MB 5a965249 download
tokenizer.json 19.1 MB 06b95093 download
chat_template.jinja 7.58 KB a8755d82 download
tokenizer_config.json 7.02 KB f2e32c2a download
README.md 5.16 KB b5b3e765 download
adapter_config.json 1.71 KB 6b0401c9 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.16 KB 33818c7f download

README current version from Hugging Face


base_model: huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated
library_name: peft
pipeline_tag: text-generation
tags:

  • base_model:adapter:huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated
  • lora
  • sft
  • transformers
  • trl
  • unsloth

Model Card for Model ID

Model Details

Model Description

  • Developed by: [More Information Needed]
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  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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Framework versions

  • PEFT 0.20.0
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