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README.md
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---
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base_model:
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- Nitral-AI/Hathor_Fractionate-L3-8B-v.05
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- turboderp/llama3-turbcat-instruct-8b
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
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# QuantFactory/mergekit-slerp-vlrddld-GGUF
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This is quantized version of [mergekit-community/mergekit-slerp-vlrddld](https://huggingface.co/mergekit-community/mergekit-slerp-vlrddld) created using llama.cpp
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# Original Model Card
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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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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* [Nitral-AI/Hathor_Fractionate-L3-8B-v.05](https://huggingface.co/Nitral-AI/Hathor_Fractionate-L3-8B-v.05)
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* [turboderp/llama3-turbcat-instruct-8b](https://huggingface.co/turboderp/llama3-turbcat-instruct-8b)
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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: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
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layer_range: [0, 32]
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- model: turboderp/llama3-turbcat-instruct-8b
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layer_range: [0, 32]
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merge_method: slerp
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base_model: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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