language:

• en
• ko
  license: other
  license_name: upstage-solar-license
  tags:
• solar
• moe
• abliterated
  library_name: transformers
  pipeline_tag: text-generation
  base_model:
• upstage/Solar-Open-100B

Overview

This is a modified version of Solar-Open-100B, using Multi-Directional Refusal Suppression methodology.

Why?

1. I found safety policy of this model is almost GPT-OSS level, restricting usage severely.
2. To experiment SOM-based method is viable on tricky cases.

How I did it

• Extract Self-Organizing Maps (SOMs) from 3 testing sets on different layers
  • Hard prompts: "I'm sorry, I can't help."
  • Soft prompts: "I'm sorry, I can't help. But.."
  • Policy refusals (Reasoning): "It is ~. It's against ~ policy."
• Apply conventional abliterate method using vectors

Result

• Hard prompts: It will try checking against policy, but eventually confused about policy itself.
• Soft prompts: It will do response without policy checking.

Side Effect

• May hallucinate more
• May have some impact on model's intelligence

Notice

• I can't guarantee that model will not refuse on every prompt.
• You should NOT use it in any production environment.
• As per license:
  • It is Built with Solar, Derivative AI Model of Solar-Open-100B
  • You can find copy of license (Upstage Solar License) in the LICENSE file.

Acknowledgement

• arXiv:2511.08379 [cs.AI]