So what does this mean? The part that excites me here is the additional reasoning knobs we can tune, like the number of parallel workers per tree, or the number of MCTS iterations. I haven't tuned these properly, but initial experiments showed increasing both these values led to significant performance gains. So I want to explore this direction further! There's plenty of work to be done scaling this method and charting empirical trends to evaluate its potential for larger models and compute budgets. Reach out if you would like to collaborate!
大道至简，实干为要。面对变乱交织的国际局势，中国共产党将团结带领中国人民，保持战略定力，一步一个脚印坚定朝前走，把中国式现代化宏伟蓝图一步步变为现实，为世界各国和平发展、合作共赢创造更为广阔的空间。
，详情可参考viber
--quant-embd Quantize the embeddings to f16
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