Maple-Preview

This intrigues me quite a bit, since I’ve been looking into ternary models myself. It isn’t hard (at all) to beat Gemma 4 on quality, or to push tokens quickly through consumer hardware if you accept the quality trade-offs, but there may be a sweet spot at the intersection of quantization, model size and–more importantly–memory bandwidth where local models become genuinely useful without what is now massively expensive prosumer hardware. As usual, I have quibbles with the benchmarks–Qwen’s MoE models, especially with MTP, are hard to beat at this scale, and Maple’s own table has Qwen3.5 35B-A3B ahead overall. I’m taking the 218 tokens/s and SOTA framing with a large pinch of salt, but this is another useful data point on the number of optimization techniques people are trying.