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README.md
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---
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---
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base_model:
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- NousResearch/Nous-Hermes-2-SOLAR-10.7B
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- BlueNipples/SnowLotus-v2-10.7B
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tags:
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- mergekit
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- merge
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---
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These are GGUF quants for https://huggingface.co/saishf/Nous-Lotus-10.7B
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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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This model is a slerp between SnowLotus-v2 & Nous-Hermes-2-SOLAR, I found snowlotus was awesome to talk to but lacked when prompting with out-there characters. Nous Hermes seemed to handle those characters a lot better, so i decided to merge the two.
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This is my first merge so it could perform badly or may not even work
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### Extra Info
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Both models are solar based so context should be 4096
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SnowLotus uses Alpaca
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Nous Hermes uses ChatML
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Both seem to work but i don't exactly know which performs better
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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/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B)
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* [BlueNipples/SnowLotus-v2-10.7B](https://huggingface.co/BlueNipples/SnowLotus-v2-10.7B)
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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: BlueNipples/SnowLotus-v2-10.7B
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layer_range: [0, 48]
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- model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
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layer_range: [0, 48]
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merge_method: slerp
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base_model: BlueNipples/SnowLotus-v2-10.7B
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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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