zelk12/MT-gemma-2-9B-Q6_K-GGUF
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zelk12 Merge test
Not a big test of what results can be achieved by mixing different models, at the moment here the models are mixed using the SLERP method.
Note Gen 0 A generation where most of the models were created, almost by random selection of components.
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zelk12/MT1-gemma-2-9B-Q6_K-GGUF
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zelk12/MT2-gemma-2-9B-Q6_K-GGUF
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zelk12/MT3-gemma-2-9B-Q6_K-GGUF
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zelk12/MT4-gemma-2-9B-Q6_K-GGUF
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zelk12/MT5-gemma-2-9B-Q6_K-GGUF
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zelk12/MT-Merge-gemma-2-9B-Q6_K-GGUF
Text Generation • Updated • 54 • 2
zelk12/MT-Gen1-gemma-2-9B-Q6_K-GGUF
Text Generation • Updated • 28Note Gen 1 The difference from generation 0 is that when the final model is created, the parameter t = 0.666666667.
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zelk12/MT1-Gen1-gemma-2-9B-Q6_K-GGUF
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zelk12/MT2-Gen1-gemma-2-9B-Q6_K-GGUF
Text Generation • Updated • 24 -
zelk12/MT3-Gen1-gemma-2-9B-Q6_K-GGUF
Text Generation • Updated • 76 • 1 -
zelk12/MT4-Gen1-gemma-2-9B-Q6_K-GGUF
Text Generation • Updated • 35 -
zelk12/MT5-Gen1-gemma-2-9B-Q6_K-GGUF
Text Generation • Updated • 48 -
zelk12/MT-Merge1-gemma-2-9B-Q6_K-GGUF
Text Generation • Updated • 28 • 1
zelk12/MT-Gen2-gemma-2-9B-Q6_K-GGUF
Text Generation • Updated • 25Note Gen 2 In this generation, all models in the connection are shifted to the strongest element by open-llm-leaderboard/open_llm_leaderboard.
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zelk12/MT1-Gen2-gemma-2-9B-Q6_K-GGUF
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zelk12/MT2-Gen2-gemma-2-9B-Q6_K-GGUF
Updated • 20 • 1