Cartesia says H-Net matches a 3B model with 10x less training
The tokenizer-free architecture learns from raw bytes and reaches SmolLM3-level results with roughly one-tenth the data and compute, according to Cartesia.
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The tokenizer-free architecture learns from raw bytes and reaches SmolLM3-level results with roughly one-tenth the data and compute, according to Cartesia.