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Use HF papers (#38184)

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Quentin Gallouédec
2025-06-13 13:07:09 +02:00
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docs/source/en/model_doc/jetmoe.md
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**JetMoe-8B** is an 8B Mixture-of-Experts (MoE) language model developed by [Yikang Shen](https://scholar.google.com.hk/citations?user=qff5rRYAAAAJ) and [MyShell](https://myshell.ai/).
JetMoe project aims to provide a LLaMA2-level performance and efficient language model with a limited budget.
To achieve this goal, JetMoe uses a sparsely activated architecture inspired by the [ModuleFormer](https://arxiv.org/abs/2306.04640).
To achieve this goal, JetMoe uses a sparsely activated architecture inspired by the [ModuleFormer](https://huggingface.co/papers/2306.04640).
Each JetMoe block consists of two MoE layers: Mixture of Attention Heads and Mixture of MLP Experts.
Given the input tokens, it activates a subset of its experts to process them.
This sparse activation schema enables JetMoe to achieve much better training throughput than similar size dense models.