Triangle104
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README.md
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This model was converted to GGUF format from [`nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated`](https://huggingface.co/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated) 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/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated) 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 [`nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated`](https://huggingface.co/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated) 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/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated) for more details on the model.
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---
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Model details:
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This model was merged using the task arithmetic merge method using flammenai/Mahou-1.5-mistral-nemo-12B + nbeerbower/Mistral-Nemo-12B-abliterated-LORA 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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Configuration
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The following YAML configuration was used to produce this model:
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base_model: flammenai/Mahou-1.5-mistral-nemo-12B+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
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dtype: bfloat16
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merge_method: task_arithmetic
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parameters:
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normalize: false
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slices:
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- sources:
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- layer_range: [0, 32]
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model: flammenai/Mahou-1.5-mistral-nemo-12B+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
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parameters:
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weight: 1.0
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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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