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precisit/onepass-webgpu-ternary — GitHub trending stats & insights | Trendshift
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precisit/onepass-webgpu-ternary
Ternary weights (T34 and Base243) for a small game-playing model: training with the format in the loop, a compact ONNX form, and WebGPU kernels for onepass-webgpu. A 1.59 MB Connect Four model at the dense model's level of play.
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Python
1 contributors
MIT License
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The model is a jevlike one-pass scorer (h/t @vinnylarouge): the board goes in, one score per column comes out, no search. Trained in stock MLX (@awnihannun), decoded on the GPU by our small WebGPU…
@TeamPrecisit · x.com
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