Thank you for publishing this! I absolutely love small embedding models, and have used them on a number of projects (both commercial and hobbyist). I look forward to checking this one out!

I don't know if this is too much to ask, but something that would really help me adopt your model is to include a fine-tuning setup. The BGE series of embeddings-models has been my go-to for a couple of years now -- not because it's the best-performing in the leaderboards, but because they make it so incredibly easy to fine-tune the model [0]. Give it a JSONL file of a bunch of training triplets, and you can fine-tune the base models on your own dataset. I appreciate you linking to the paper on the recipe for training this type of model -- how close to turnkey is your model to helping me do transfer learning with my own dataset? I looked around for a fine-tuning example of this model, and didn't happen to see anything, but I would be very interested in trying this one out.

Does support for fine-tuning already exist? If so, then I would be able to switch to this model away from BGE immediately.

* [0] - https://github.com/FlagOpen/FlagEmbedding/tree/master/exampl...