I think this is what the n-gram table in Qwen 4 (and 3.8-Flash-Next) is for. We’ll see if it comes down to the 27b variant.
replyA RAG solution would make time to first token awful.
> A RAG solution would make time to first token awful.
replyin your specific workflows, where specifically is the time to first token a dealbreaker? what's your typical target and what's a "no go"?
I tend to use LLMs conversationally, often as search-and-summarize but also as a pair designer. I find it very difficult to operate in this mode if prefill takes more than, say, a dozen seconds. And that only gets to the reasoning output; depending of effort level it can be multiple minutes to get a reply in a freshly compacted context.
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