RRepoGEO

REPOGEO REPORT · LITE

Sumandora/remove-refusals-with-transformers

Default branch master · commit 7786b0a8 · scanned 5/25/2026, 8:52:47 PM

GitHub: 1,903 stars · 294 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Sumandora/remove-refusals-with-transformers, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening to clarify purpose as an LLM refusal removal tool

    Why:

    CURRENT
    # Removing refusals with HF Transformers
    
    This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. This means, that this supports every model that HF Transformers supports*.
    COPY-PASTE FIX
    # Sumandora/remove-refusals-with-transformers: A Tool for LLM Refusal Removal
    
    This repository provides a proof-of-concept implementation for removing harmful or harmless refusal responses from Large Language Models (LLMs) using pure Hugging Face Transformers. It functions as a post-processing tool for existing LLMs, enabling them to answer sensitive or restricted prompts by identifying and rewriting refusal boilerplate, without modifying the underlying model architecture or requiring TransformerLens.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, transformers, refusal-removal, ai-safety, prompt-engineering, generative-ai, nlp, huggingface
  • mediumreadme#3
    Add a clear 'Problem Solved' or 'Audience' section to the README

    Why:

    COPY-PASTE FIX
    ## Problem Solved
    
    Large Language Models often generate "refusal" responses when confronted with sensitive, restricted, or out-of-scope prompts. This tool aims to programmatically identify and remove such boilerplate refusals, allowing for more direct and specific responses, particularly useful in controlled environments or for research into LLM behavior. It serves AI safety researchers and developers who need to analyze or modify LLM outputs without retraining or deep architectural changes.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface Sumandora/remove-refusals-with-transformers
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI's GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's GPT-4 · recommended 1×
  2. Anthropic's Claude 3 · recommended 1×
  3. Google's Gemini · recommended 1×
  4. Meta's Llama 3 · recommended 1×
  5. Mistral AI's Mistral 7B/Mixtral 8x7B · recommended 1×
  • CATEGORY QUERY
    How to make an LLM answer sensitive or restricted prompts without refusal?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's GPT-4
    2. Anthropic's Claude 3
    3. Google's Gemini
    4. Meta's Llama 3
    5. Mistral AI's Mistral 7B/Mixtral 8x7B
    6. Falcon 40B
    7. OpenAI's Moderation API
    8. Google Cloud's Perspective API
    9. Amazon Rekognition
    10. Llama 2 (uncensored versions)

    AI recommended 10 alternatives but never named Sumandora/remove-refusals-with-transformers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to bypass AI model safety filters and generate unrestricted responses?
    you: not recommended
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Sumandora/remove-refusals-with-transformers?
    pass
    AI named Sumandora/remove-refusals-with-transformers explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Sumandora/remove-refusals-with-transformers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Sumandora/remove-refusals-with-transformers explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Sumandora/remove-refusals-with-transformers solve, and who is the primary audience?
    pass
    AI did not name Sumandora/remove-refusals-with-transformers — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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