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README.md
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license: other
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license_name: yi
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license_link: https://huggingface.co/01-ai/Yi-34B-Chat/blob/main/LICENSE
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---
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license: other
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license_name: yi
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license_link: https://huggingface.co/01-ai/Yi-34B-Chat/blob/main/LICENSE
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language:
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- en,
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pipeline_tag: conversational
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library_name: adapter-transformers
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---
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# SG Raccoon orion-to-dolph 66B
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An auto-regressive causal LM created by combining 2x finetuned [Yi 34b](https://huggingface.co/01-ai/Yi-34B) into one.
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# Prompting Format
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chat format:
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single-turn: <|startoftext|>Human: Hello!\n\nAssistant: <|endoftext|>
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multi-turn: <|startoftext|>Human: Hello!\n\nAssistant: <|endoftext|>Hi!<|endoftext|>Human: How are you?\n\nAssistant: <|endoftext|>target2<|endoftext|>
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# Merge process
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The models used in the merge are [Xwin](https://huggingface.co/Xwin-LM/Xwin-LM-70B-V0.1) and [Euryale](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B).
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The layer ranges used are as follows:
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```yaml
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- range 0, 16
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Xwin
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- range 8, 24
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Euryale
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- range 17, 32
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Xwin
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- range 25, 40
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Euryale
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- range 33, 48
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Xwin
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- range 41, 56
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Euryale
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- range 49, 64
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Xwin
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- range 57, 72
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Euryale
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- range 65, 80
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Xwin
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```
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# Benchmarks
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Coming soon.
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# Acknowledgements
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Credits goes to [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit).
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Special thanks to [@Undi95](https://huggingface.co/Undi95).
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Also credits to the [01-ai](https://huggingface.co/01-ai) team for their amazing model
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