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…
What it does
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 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 page for bug reports and feedback. Providers get a detailed feedback/reports overview. Takes about 30 minutes on a T4 GPU. Since it's embedded in the weights, it persists wherever the model gets deployed.
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Review by Eddie AIJul 2026 · review.heyeddie.ai · ▲147Time-stamped feedback on your video frm your team & AI. Free
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