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Abliterater
Educational workbench for local LLM refusal research
Abliterater is an educational workbench from GENOX in Seoul. It is intended for research, teaching, and defensive security study of how official open-weight Instruct models refuse certain requests. You select a checkpoint, choose a method, download a script pack, and run it on your computer, a GPU you rent, or a cloud API you pay for. This repository does not host model weights. Illegal use and third-party commercial use are not permitted. License: AGPL-3.0-or-later. Contributions are welcome.
Hello from GENOX in Seoul.
We built Abliterater for people who run open-weight models on their own machines and want to understand refusal with care — researchers, teachers, and defenders. Official Instruct checkpoint, a method, a pack ZIP, then you run it. Local computer, rented GPU, or your own cloud key. We do not host weights and we do not sell inference.
This is an educational workbench, not a storefront for modified models and not a guide for illegal use.
The web interface works today. Desktop packaging is still in progress. If you try it, we would like to hear how the first session goes on Windows, macOS, or Linux.
AGPL-3.0-or-later, with acceptable-use terms. Commercial use by third parties and illegal use are not permitted. Contributions and comments are welcome.
https://github.com/genoxone20261...
💻 your local workstation 🎮 your own GPU ☁️ cloud GPU instances 🖥️ rented GPU servers
Abliterater does 𝗡𝗢𝗧 host model weights.
Abliterater does 𝗡𝗢𝗧 sell inference.
Your models, credentials, infrastructure, and compute remain 𝘆𝗼𝘂𝗿𝘀.
━━━━━━━━━━━━━━━━━━
🔬 𝗧𝗵𝗶𝘀 𝗶𝘀𝗻'𝘁 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝗔𝗜 𝗰𝗵𝗮𝘁𝗯𝗼𝘁.
Our goal is to build a practical research layer around open models.
A tool for:
🧑🔬 AI researchers 👨💻 LLM developers 🎓 educators & students 🛡️ defensive AI / security researchers 🧠 people studying model behavior ⚙️ builders experimenting with local AI
❤️ If Abliterater looks useful to you, we'd really appreciate your feedback.
⬆️ And if you like what we're building, an upvote helps more researchers and builders discover the project.
Thanks for checking out 𝗔𝗯𝗹𝗶𝘁𝗲𝗿𝗮𝘁𝗲𝗿. 🚀
About Abliterater on Product Hunt
“Educational workbench for local LLM refusal research”
Abliterater was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #139 on the daily leaderboard. Abliterater is an educational workbench from GENOX in Seoul. It is intended for research, teaching, and defensive security study of how official open-weight Instruct models refuse certain requests. You select a checkpoint, choose a method, download a script pack, and run it on your computer, a GPU you rent, or a cloud API you pay for. This repository does not host model weights. Illegal use and third-party commercial use are not permitted. License: AGPL-3.0-or-later. Contributions are welcome.
Abliterater was featured in Open Source (68.9k followers), Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers), GitHub (41.4k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 253.9k products, making this a competitive space to launch in.
Who hunted Abliterater?
Abliterater was hunted by Genox. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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