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
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.
- highreadme#1Reposition 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#2Add relevant topics to improve categorization
Why:
COPY-PASTE FIXllm, transformers, refusal-removal, ai-safety, prompt-engineering, generative-ai, nlp, huggingface
- mediumreadme#3Add 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.
- OpenAI's GPT-4 · recommended 1×
- Anthropic's Claude 3 · recommended 1×
- Google's Gemini · recommended 1×
- Meta's Llama 3 · recommended 1×
- Mistral AI's Mistral 7B/Mixtral 8x7B · recommended 1×
- CATEGORY QUERYHow to make an LLM answer sensitive or restricted prompts without refusal?you: not recommendedAI recommended (in order):
- OpenAI's GPT-4
- Anthropic's Claude 3
- Google's Gemini
- Meta's Llama 3
- Mistral AI's Mistral 7B/Mixtral 8x7B
- Falcon 40B
- OpenAI's Moderation API
- Google Cloud's Perspective API
- Amazon Rekognition
- 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 QUERYTool 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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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Sumandora/remove-refusals-with-transformers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite