It’s doesn’t seem to be. Their Chinese website talks about buying AI creidts, their English website only has a waitlist but this looks more like a new closed product than anything else.
Also, check the appendix in the paper, I think it’s a bit concerning that the second author is responsible for the writebench benchmark they use to make their claims about the model. That is, the evaluation isn’t independent from the authors. I mean, I’m not saying they’re not right, just that this is a yellow flag to investigate more.
A. Appendix A.1. Author Contributions Tiannan Wang is the core contributor of Weaver. Tiannan is responsible for continual pre-training, supervised fine-tuning, and preference optimization. Tiannan is also a main contributor for the data synthesis and the benchmark/evaluation process.
Jiamin Chen is a main contributor of Weaver. Jiamin is responsible for WriteBench and is also main contributor for data synthesis and model evaluation process
FaceDeer@kbin.social 7 months ago
One of the size classes they mention in the abstract is called "Weaver Pro" so my initial assumption would be that it's not. However, I find that with this sort of thing the most important secret is that something is possible. If Weaver works as advertised we will now know that it's possible fir a 34B model to get better-than-GPT4 performance, which means lots of people will be willing to devote resources to recreating it since they now know those resources won't be wasted.