Thread

1. agrippanux · 1790905475 · focus · HN ↗

   I'm a big fan of Cloudflare products. I recently stuck Jev in front of a Cloudflare-hosted Ollama model for chat/username moderation, so I was excited to test out Clef. The setup is user send a message -> Jev does first pass to see if it's toxic/hate speech/profane, if Jev is unsure then Ollama on Workers AI takes a deeper look.

   Clef was 2-3x slower and worse (it caught less hate speech) than Jev. Overall disappointing.

   1. teleforce · 1790910575 · focus · HN ↗

      In "How we trained Clef" section Cloudflare mentioned that they initially based their Jev-like system on DiffussionGemma (DJev) model but then changed to Qwen with post training for Clef, but never mentioned any reason and justification for the change.

      Although they included the benchmark against DJev and Clef is better, perhaps if you can test it to see the real-world performance.

      1. nostrebored · 1790912728 · focus · HN ↗

         Diffusion Gemma sucks to train if you are not already mostly in distribution. The reason diffusion Gemma is fast is a learned denoising that balances quality and speed. So the further your data is from what already happens, the slower it gets. In almost every case I’ve tried, you might as well just train Nemotron.

Unofficial Hacker News client; not affiliated with Y Combinator.