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README.md
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---
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base_model:
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- NousResearch/Hermes-3-Llama-3.1-8B
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- qingy2024/NaturalLM3-8B-Instruct-v0.1
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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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[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
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# QuantFactory/Albatross2.1-8B-Instruct-GGUF
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This is quantized version of [qingy2024/Albatross2.1-8B-Instruct](https://huggingface.co/qingy2024/Albatross2.1-8B-Instruct) 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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* [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)
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* [qingy2024/NaturalLM3-8B-Instruct-v0.1](https://huggingface.co/qingy2024/NaturalLM3-8B-Instruct-v0.1)
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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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models:
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- model: qingy2024/NaturalLM3-8B-Instruct-v0.1
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- model: NousResearch/Hermes-3-Llama-3.1-8B
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merge_method: slerp
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base_model: qingy2024/NaturalLM3-8B-Instruct-v0.1
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dtype: bfloat16
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parameters:
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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```
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