User runs Kimi k3 locally, explores performance and alternatives

A user shared their experience running the Kimi k3 model locally, utilizing two clusters with llama.cpp over RPC. They noted that the current setup is not sufficient to hold the entire model in memory, leading to partial offloading. The user aims to consolidate the GPUs into a single system to improve speed and is exploring other models like Qwen3.8 and DeepSeekV4Pro/GLM5.3 for potential use. AI

IMPACT Provides insights into local deployment challenges and performance considerations for LLMs.

RANK_REASON User experience report on running a specific model locally, discussing hardware configuration and comparing with other models.

Read on r/LocalLLaMA →

• DeepSeekV4Pro
• GLM5.3
• Kimi k3
• llama.cpp
• Qwen3.7-27B
• Qwen3.8

• infra
• model release

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