SG-Raccoon-Yi-55B

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SG Raccoon Yi 55B

The first 55B auto-regressive causal LM created by combining 2x finetuned Yi 34b into one.

Prompting Format

single-turn: <|startoftext|>Human: Hello!\n\nAssistant: <|endoftext|>

multi-turn: <|startoftext|>Human: Hello!\n\nAssistant: <|endoftext|>Hi!<|endoftext|>Human: How are you?\n\nAssistant: <|endoftext|>target2<|endoftext|>

Merge process

The models used in the merge are dolphin-2_2-yi-34b and OrionStar-Yi-34B-Chat-Llama.

The layer ranges used are as follows:

- range 0, 16
OrionStar-Yi-34B-Chat
- range 8, 24
dolphin-2_2-yi-34b
- range 17, 32
OrionStar-Yi-34B-Chat
- range 25, 40
dolphin-2_2-yi-34b
- range 33, 48
OrionStar-Yi-34B-Chat
- range 41, 56
dolphin-2_2-yi-34b
- range 49, 64
OrionStar-Yi-34B-Chat
- range 57, 72
dolphin-2_2-yi-34b
- range 65, 80
OrionStar-Yi-34B-Chat

Tips

Being a Yi model, try disabling the BOS token and/or running a lower temperature with MinP (and no other samplers) if output doesn't seem right. Yi tends to run "hot" by default.

Sometimes the model "spells out" the stop token as </s> like Capybara, so you may need to add </s> as an additional stopping condition.

Benchmarks

Coming soon.

Acknowledgements

• Special thanks to MSS for sponsoring this project

• @chargoddard for developing the framework used to merge the model - mergekit.

• Great thanks to @Undi95 for helping figuring out model merge options

• Also credits to the 01-ai team for their amazing models

• This merged model is inspired by Goliath 120B