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Apriel-H1: The Surprising Key to Distilling Efficient Reasoning Models — forck

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Hugging Face· 19 Nov

Apriel-H1: The Surprising Key to Distilling Efficient Reasoning Models

New model

Image published with the post by Hugging Face — Image from huggingface.co

ServiceNow AI converted their 15B reasoning model to a Mamba hybrid (Apriel-H1-15b-Thinker-SFT) achieving 2.1x throughput with minimal quality loss, using reverse KL divergence and staged distillation on high-quality reasoning traces.

From the source
We converted our 15B reasoning model to a Mamba hybrid achieving 2.1x throughput with minimal quality loss.
huggingface.co

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Visit source ↗huggingface.co

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