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README.md
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This model was converted to GGUF format from [`Silvelter/Yomiel-22B`](https://huggingface.co/Silvelter/Yomiel-22B) 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/Silvelter/Yomiel-22B) 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 [`Silvelter/Yomiel-22B`](https://huggingface.co/Silvelter/Yomiel-22B) 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/Silvelter/Yomiel-22B) for more details on the model.
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Merge Method
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This model was merged using the della_linear merge method using ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1 as a base.
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Models Merged
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The following models were included in the merge:
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nbeerbower/Mistral-Small-Drummer-22B
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gghfez/SeminalRP-22b
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TheDrummer/Cydonia-22B-v1.1
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anthracite-org/magnum-v4-22b
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Configuration
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The following YAML configuration was used to produce this model:
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base_model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
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parameters:
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epsilon: 0.04
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lambda: 1.05
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int8_mask: true
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rescale: true
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normalize: false
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dtype: bfloat16
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tokenizer_source: base
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merge_method: della_linear
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models:
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- model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
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parameters:
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weight: [0.2, 0.3, 0.2, 0.3, 0.2]
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density: [0.45, 0.55, 0.45, 0.55, 0.45]
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- model: gghfez/SeminalRP-22b
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parameters:
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weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
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density: [0.6, 0.4, 0.5, 0.4, 0.6]
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- model: anthracite-org/magnum-v4-22b
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parameters:
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weight: [0.208, 0.139, 0.139, 0.139, 0.208]
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density: [0.7]
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- model: TheDrummer/Cydonia-22B-v1.1
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parameters:
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weight: [0.208, 0.139, 0.139, 0.139, 0.208]
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density: [0.7]
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- model: nbeerbower/Mistral-Small-Drummer-22B
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parameters:
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weight: [0.33]
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density: [0.45, 0.55, 0.45, 0.55, 0.45]
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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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