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 **Time:** JiRack 1.5B: High-Efficiency Financial Modeling
 - We are training a compact 1.5B parameter model on an extensive 11 billion token corpus. By training on a token-to-parameter ratio of nearly 7:1, we achieve exceptional knowledge density and reasoning capabilities in a lightweight architecture.
-- Performance: JiRack Ternary Pro 1.5b about 28–36 hours per epoch on NVIDIA BlackWell 96 Gb VRAM
-- Performance: JiRack Ternary Pro 10b  about 7-9 days per epoch on NVIDIA BlackWell 96 Gb VRAM
+- Performance: JiRack Ternary Pro 1.5b about 14–18 hours per epoch on NVIDIA BlackWell 96 Gb VRAM
+- Performance: JiRack Ternary Pro 10b  about 4-5 days per epoch on NVIDIA BlackWell 96 Gb VRAM
 - Optimization: Optimized for secure, low-latency banking applications.
 
 **Inventor:** Konstantin Vladimirovich Grabko