A user on Reddit's r/LocalLLaMA community is experiencing performance issues with parallel agents in llama.cpp. While decode performance is excellent, the prefill stage of one agent causes all other agents to halt when performing tasks like web searches that require processing thousands of tokens. The user has shared their command-line arguments for llama-server and is seeking advice on how to optimize the configuration for better parallel agent performance. AI
IMPACT Highlights a potential bottleneck in distributed inference for local LLM setups.
RANK_REASON User-reported issue with a specific software tool's functionality.
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