nvidia/Kimi-K2.7-Code-DFlash
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High Token Consumption and Cost Behavior in This Model
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#33 opened 9 days ago
by 
mehranpng
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Frontier models use distillation as a step of their post-training pipelines.
In 2026 it has three jobs: compress a big model into a small one, merge RL experts into a single model, and let a model teach itself.
I wrote up which frontier models use each one and how: https://huggingface.co/blog/sergiopaniego/distillation-2026
It pairs with Class 2 of the Training an Agent series Ben and I are doing, where we teach these techniques hands-on with TRL!
In 2026 it has three jobs: compress a big model into a small one, merge RL experts into a single model, and let a model teach itself.
I wrote up which frontier models use each one and how: https://huggingface.co/blog/sergiopaniego/distillation-2026
It pairs with Class 2 of the Training an Agent series Ben and I are doing, where we teach these techniques hands-on with TRL!
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IDEA: Bitnet 1.58 (a4.8) version in future variants would be so incredible!
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#40 opened 4 days ago
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apiarium
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thank you
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#2 opened 22 days ago
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arc2745
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Thank you and there is interest!
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#8 opened 27 days ago
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NullSense
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