RAG
Collection
the best collection of RAG model, like embedding, ranker etc. • 1 item • Updated • 1
A try for emebdding model:
The method is the same as the stella-v2, I just extend the length of the context on tao.(I found if you want to use the fully-8k context, you maybe need to convert the model to float32).
Now I'm working on the tao-v2, It will have a different sturcture.
I will release tao-v2 as fast as I can.
Thank you to the open source community.
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Collection including Amu/tao-8k
Evaluation results
- cos_sim_pearson on MTEB AFQMCvalidation set self-reported47.336
- cos_sim_spearman on MTEB AFQMCvalidation set self-reported49.940
- euclidean_pearson on MTEB AFQMCvalidation set self-reported48.120
- euclidean_spearman on MTEB AFQMCvalidation set self-reported49.940
- manhattan_pearson on MTEB AFQMCvalidation set self-reported48.074
- manhattan_spearman on MTEB AFQMCvalidation set self-reported49.892
- cos_sim_pearson on MTEB ATECtest set self-reported50.976
- cos_sim_spearman on MTEB ATECtest set self-reported53.112