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README.md
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users are responsible for all outputs from this model.
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This experimental model is more of a proof-of-concept for now. It fully works and it has some pretty nice performance, for having less than 2 billion parameters activated per token.
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**If you have any questions, feel free to open a "New Discussion".**
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Fine tuning was done using Unsloth, MoE was created using MergeKit.
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users are responsible for all outputs from this model.
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This experimental model is more of a proof-of-concept for now. It fully works and it has some pretty nice performance, for having less than 2 billion parameters activated per token.
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# Examples
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Note, on our local test, it runs at about 55 tokens a second.
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**If you have any questions, feel free to open a "New Discussion".**
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Fine tuning was done using Unsloth, MoE was created using MergeKit.
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