A user has successfully configured and run the DeepSeek V4 Flash model, a large 144 GiB MoE model, on a setup of four NVIDIA RTX 3060 12GB GPUs. This configuration achieved approximately 100 tokens/s for prompt processing and 10 tokens/s for text generation, while maintaining a context window of up to 368,640 tokens. The user detailed specific llama.cpp parameters and hardware configurations, highlighting the impact of microbatch size and tensor placement on performance and VRAM usage. AI
IMPACT Demonstrates efficient deployment of large MoE models on consumer-grade hardware, potentially lowering barriers to entry for advanced AI experimentation.
RANK_REASON User-driven configuration and performance report for running a large model on consumer hardware.
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