A developer at Tenstorrent successfully ran the 744 billion parameter GLM-5.2 model on a dual-card setup, achieving a performance of 0.35 tokens per second. This was accomplished by adapting the Colibri project's approach, which optimizes memory usage by streaming expert sub-networks as needed. The developer meticulously verified each component of the model implementation against reference versions, ensuring high accuracy before focusing on performance. AI
IMPACT Shows potential for running large models on more accessible hardware configurations.
RANK_REASON Demonstration of running a large model on specific hardware, adapting an existing project. [lever_c_demoted from research: ic=1 ai=1.0]
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