It is truly pathetic to watch a gang of fragile egos coordinate mass reports just to hide objective technical criticism. You characters create a whole "group" to violate Hugging Face terms of service regarding brigading, completely proving that you cannot handle a real debate. First, you whine about "personal insults," and then you pull a cowardly move like this because you lack the brainpower to counter her arguments with actual math.Let us peel back the layers of your "amazing" scam here. You talk about compute, but you don't even understand the baseline mechanics of the architectures you are playing with. Adrienne completely stripped your 400M model naked, but let me open your eyes even further.If you throw away the tokenizer and the basic syntax layers from a small model, you are already hollow. But here is a little secret for the butchers: attention heads are heavily marketed parameters, not dedicated, independent layers of core knowledge. In these micro-budgets, the actual capacity left for processing deep logic and reasoning is barely 10% to 20%. You are literally trying to force a heavily castrated dictionary to act as a system-call validator.Instead of hiding behind the "Report" button and organizing mass-flagging parties like children, you should have taken her advice, read your own configuration files, and learned how to fine-tune specific layers properly. This charity theater isn't research; it's a mutual coping mechanism for people who don't know how transformers actually process weights.Bravo)))
"embedding parameters are vocabulary size × hidden size—not “32K tokens = 32M” unless the hidden size happens to be 1,000 and tokenizer size does not generically break gradient flow or cause hallucinations' (from my earlier comment, countering with math), Someone here's looking for attention