BAAI
We introduce C-Pack, a package of resources that significantly advance the field of general Chinese embeddings. C-Pack includes three critical resources. 1) C-MTEB is a comprehensive benchmark for Chinese text embeddings covering 6 tasks and 35 datasets.
Running this yourself: can likely run on your own machine.
The English models achieve state-of-the-art performance on MTEB benchmark; meanwhile, our released English data is 2 times larger than the Chinese data.
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Quality Score
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Arena ELO
560M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
13 of 22 public signals
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2.8M
Downloads
470
Likes
Sep 2023
Released
4/5 signals
0/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
560M
Training compute
Not reported
Dataset scale
Not reported
Base model
XLM-RoBERTa
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
This section gives the plain-English basics first: what the model is, how large it is, how much context it can handle, and whether it is still actively supported.
This tells you how you can use the model in practice: whether weights are open, whether an API exists, and what kinds of input or output it supports.
Capabilities