A user has successfully implemented DeepSeek V4 with a flash Q2 quantization on a single RTX 4090 graphics card, utilizing 64 GB of RAM. This setup, which avoids common inference engines like llama.cpp or vllm, achieved approximately 8 tokens per second, with momentary dips to 5 tokens per second due to expert utilization requiring disk reads. The user plans to publish details about their custom ML compiler and inference engine, Blaze, which enabled this efficient deployment. AI
IMPACT Demonstrates potential for running advanced models on consumer-grade hardware, lowering accessibility barriers.
RANK_REASON User-driven research milestone demonstrating efficient deployment of a model on consumer hardware. [lever_c_demoted from research: ic=1 ai=1.0]
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