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  This model was converted to GGUF format from [`huihui-ai/Huihui-MoE-23B-A4B`](https://huggingface.co/huihui-ai/Huihui-MoE-23B-A4B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/huihui-ai/Huihui-MoE-23B-A4B) for more details on the model.
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  ## Use with llama.cpp
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  Install llama.cpp through brew (works on Mac and Linux)
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  This model was converted to GGUF format from [`huihui-ai/Huihui-MoE-23B-A4B`](https://huggingface.co/huihui-ai/Huihui-MoE-23B-A4B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/huihui-ai/Huihui-MoE-23B-A4B) for more details on the model.
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+ ---
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+ Huihui-MoE-23B-A4B is a Mixture of Experts (MoE) language model developed by huihui.ai, built upon the Qwen/Qwen3-4B base model. It enhances the standard Transformer architecture by replacing MLP layers with MoE layers, each containing 8 experts, to achieve high performance with efficient inference. The model is designed for natural language processing tasks, including text generation, question answering, and conversational applications.
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+ ---
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  ## Use with llama.cpp
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  Install llama.cpp through brew (works on Mac and Linux)
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