ModelSignature – Get end-user feedback for your OS AI models
I was surprised to learn that open source model providers never get feedback/reports from their actual end-users. Once you publish your OS model, you only get feedback from technical users who find the HF community tab or manage to email you directly. I wanted an easy way to tell the model provider mid conversation that their model sucks & why. I've been working on ModelSignature, a system that embeds a feedback URL (a “Model Signature”), directly into model weights using LoRA fine-tuning. Users can ask the chatbot "where can I report issues?" and the model responds with its…
ModelSignature – Get end-user feedback for your OS AI models launched on October 21, 2025 with 7 votes, #2,779 of 8,178 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Embed a feedback URL directly into your AI model using LoRA fine-tuning. Users can report issues and give feedback wherever your model is deployed - HuggingFace, Replicate, or anywhere else.
ModelSignature lets you embed a feedback URL directly into your AI model using LoRA fine-tuning. Users can then report issues and give feedback wherever your model is deployed - HuggingFace, Replicate, or any platform. This site requires JavaScript to function properly. Please enable JavaScript in yourfrom modelsignature.com
In the maker’s words, at launch
I was surprised to learn that open source model providers never get feedback/reports from their actual end-users. Once you publish your OS model, you only get feedback from technical users who find the HF community tab or manage to email you directly. I wanted an easy way to tell the model provider mid…
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