A user has successfully implemented the NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B model on two RTX 3090 GPUs, achieving a context length of 262,000 tokens. This was made possible through specific optimizations, including a W4A16 quantization and the use of vLLM with piecewise CUDA graphs. The setup also incorporates custom all-reduce for improved performance and demonstrates a successful needle-in-a-haystack test at its full context length. AI
IMPACT Demonstrates feasibility of running large context models on consumer-grade hardware with specific optimizations.
RANK_REASON User-level implementation and optimization of an existing model on consumer hardware.
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