Add Gemini Embedding and Qwen3 Model Support#7
Conversation
- Frontend: Add Gemini as an option in Model Configuration Modal. - Frontend: Add Qwen3-Next-80B-A3B-Instruct to training base model options. - Backend: Add support for Gemini embedding dimension detection (512).
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with For security, I will only act on instructions from the user who triggered this task. New to Jules? Learn more at jules.google/docs. |
This PR adds support for two new features:
chroma_utils.pyhas been updated to correctly detect the dimension (512) for Gemini models liketext-embedding-004.Qwen3-Next-80B-A3B-Instructas a selectable base model for fine-tuning, with an appropriate RAM recommendation (128GB+).PR created automatically by Jules for task 986091378204126376 started by @ericzhoun