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  1. README.md +9 -0
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@@ -411,6 +411,15 @@ If you use this model, please cite the base model and Pulsar 16B:
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  url = {https://huggingface.co/MultiverseComputingCAI/Pulsar-16B-BF16},
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  note = {Model developed based on nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 using CompactifAI technology}
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  }
 
 
 
 
 
 
 
 
 
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  ```
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  **Built by [Multiverse Computing](https://www.multiversecomputing.com)** · [Report an issue](TODO_PULSAR_HF_URL/discussions) · [Discord](https://discord.gg/cGas9uStqp)
 
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  url = {https://huggingface.co/MultiverseComputingCAI/Pulsar-16B-BF16},
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  note = {Model developed based on nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 using CompactifAI technology}
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  }
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+ @misc{ryskulov2026efficientknowledgedistillationllms,
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+ title={Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss},
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+ author={Bakbergen Ryskulov and Iker García-Ferrero and David Montero and David Jansen and Ali Hashemi and Jezabel R. Garcia and Antonio Tiene and Román Orús},
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+ year={2026},
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+ eprint={2608.03796},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2608.03796},
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+ }
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  ```
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  **Built by [Multiverse Computing](https://www.multiversecomputing.com)** · [Report an issue](TODO_PULSAR_HF_URL/discussions) · [Discord](https://discord.gg/cGas9uStqp)