InferenceIllusionist
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README.md
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* Model creator: [Sao10K](https://huggingface.co/Sao10K/)
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* Original model: [Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2)
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<b>Update 3/4/24: </b> Newest I-Quant format <b>[IQ4_XS](https://huggingface.co/InferenceIllusionist/Fimbulvetr-11B-v2-iMat-GGUF/blob/main/Fimbulvetr-11B-v2-iMat-
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Tested on latest llama.cpp & koboldcpp v.1.60.
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* Model creator: [Sao10K](https://huggingface.co/Sao10K/)
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* Original model: [Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2)
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<b>Update 3/4/24: </b> Newest I-Quant format <b>[IQ4_XS](https://huggingface.co/InferenceIllusionist/Fimbulvetr-11B-v2-iMat-GGUF/blob/main/Fimbulvetr-11B-v2-iMat-IQ4_XS.gguf)</b> shows superior performance to previous I-quants @ a whopping 4.25 bpw in [benchmarks](https://github.com/ggerganov/llama.cpp/pull/5747)
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Tested on latest llama.cpp & koboldcpp v.1.60.
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