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首先，Move to VLLM for production. Once you have a system that works, Ollama becomes a bottleneck for concurrent requests. VLLM locks your GPU to one model, but it is drastically faster because it uses PagedAttention. Structure your system so you send 8 or 16 async requests simultaneously. VLLM will batch them together in the GPU memory, and all 16 will finish in roughly the same time it takes to process one.
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其次，Identical solution. Three-fourths fewer terms. Intelligence remains intact.
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第三，C135) STATE=C136; ast_C39; continue;;
此外，// Decode next "len" bytes using TracePacket::decode()
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