Please consider removing biased, tainted or unaligned training data and make an effort to remove copyrighted works from the crawl from intake. This will make the model more usable. If you reused anthropic curation checks, this might also help, remove obviouslybiased data will likely add a lot of value. We don't want another tainted, unaligned open source model, right? And no corporate would ever use deepseek or a model that reuses it, right?
We appreciate your work for the benefit of humanity, we hope.
Miike C from NJ
