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---
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base_model:
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###
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- value: 0.5
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dtype: bfloat16
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```
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---
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base_model: grimjim/madwind-wizard-7B
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library_name: transformers
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quanted_by: grimijm
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license: cc-by-nc-4.0
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pipeline_tag: text-generation
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---
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# madwind-wizard-7B-GGUF
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This is a merge of pre-trained 7B language models created using [mergekit](https://github.com/cg123/mergekit).
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The intended goal of this merge was to combine the 32K context window of Mistral v0.2 base with the richness and strength of the Zephyr Beta and WizardLM 2 models. This was a mixed-precision merge, promoting Mistral v0.2 base from fp16 to bf16.
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The result can be used for text generation. Note that Zephyr Beta training removed in-built alignment from datasets, resulting in a model more likely to generate problematic text when prompted. This merge appears to have inherited that feature.
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- Full weights: [grimjim/madwind-wizard-7B](https://huggingface.co/grimjim/madwind-wizard-7B)
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- GGUF quants: [grimjim/madwind-wizard-7B-GGUF](https://huggingface.co/grimjim/madwind-wizard-7B-GGUF)
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [grimjim/zephyr-beta-wizardLM-2-merge-7B](https://huggingface.co/grimjim/zephyr-beta-wizardLM-2-merge-7B)
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* [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: alpindale/Mistral-7B-v0.2-hf
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layer_range: [0,32]
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- model: grimjim/zephyr-beta-wizardLM-2-merge-7B
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layer_range: [0,32]
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merge_method: slerp
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base_model: alpindale/Mistral-7B-v0.2-hf
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parameters:
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t:
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- value: 0.5
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dtype: bfloat16
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```
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