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license: apache-2.0
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license: apache-2.0
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tags:
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- MoE
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- merge
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- mergekit
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- Mistral
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- Microsoft/WizardLM-2-7B
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# WizardLM-2-4x7B-MoE-exl2-4_25bpw
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This is a quantized version of [WizardLM-2-4x7B-MoE](https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE) an experimental MoE model made with [Mergekit](https://github.com/arcee-ai/mergekit). Quantization was done using version 0.0.18 of [ExLlamaV2](https://github.com/turboderp/exllamav2).
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Please be sure to set experts per token to 4 for the best results! Context length should be the same as Mistral-7B-Instruct-v0.1 (8k tokens). For instruction templates, Vicuna-v1.1 is recommended.
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For more information see the [original repository](https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE).
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