models : support qwen3.5 series (#19468)
* support qwen3.5 series * remove deepstack for now, and some code clean * code clean * add FULL_ATTENTION_INTERVAL metadata * code clean * reorder v heads for linear attention to avoid expensive interleaved repeat
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@@ -2013,7 +2013,7 @@ void llama_context::output_reorder() {
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//
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uint32_t llama_context::graph_max_nodes(uint32_t n_tokens) const {
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if (model.arch == LLM_ARCH_QWEN3NEXT || model.arch == LLM_ARCH_KIMI_LINEAR) {
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if (model.arch == LLM_ARCH_QWEN3NEXT || model.arch == LLM_ARCH_KIMI_LINEAR || model.arch == LLM_ARCH_QWEN35 || model.arch == LLM_ARCH_QWEN35MOE) {
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return std::max<uint32_t>(n_tokens * 40, 32u * model.n_tensors());
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}
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uint32_t res = std::max<uint32_t>(1024u, 8u*model.n_tensors());
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