The K2 Horizon lineup of AI models has been released, with performance metrics from Artificial Analysis indicating that the 3.7B and 7B parameter models are state-of-the-art, while the 0.9B and 375B models are less effective. The 36B A4B model is noted as competitive for hardware with poor memory bandwidth. However, the analysis highlights a significant drawback in the K2 Horizon models' KV cache design, which negatively impacts their RAM requirements and overall performance, making other models potentially better choices depending on available hardware and desired context length. AI
IMPACT Highlights potential limitations in KV cache design for new models, impacting hardware compatibility and performance comparisons.
RANK_REASON Release of new AI models with detailed performance analysis and technical critique. [lever_c_demoted from research: ic=1 ai=1.0]
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