SG-Raccoon-Yi-55B-200k-2.0

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SG Raccoon 55B 2.0

The first 55B auto-regressive causal LM created by combining 2x finetuned llamafied Yi 34b with 200K context into one.

Prompting Format

SYSTEM: <ANY SYSTEM CONTEXT>
USER: 
ASSISTANT:

Merge process

The models used in the merge are Tess-M-v1.3 and airoboros-3_1-yi-34b-200k.

The layer ranges used are as follows:

- model: bhenrym14/airoboros-3_1-yi-34b-200k
  layer_range: [0, 14]
- model: migtissera/Tess-M-v1.3
  layer_range: [7, 21]  
- model: bhenrym14/airoboros-3_1-yi-34b-200k
  layer_range: [15, 29] 
- model: migtissera/Tess-M-v1.3
  layer_range: [22, 36] 
- model: bhenrym14/airoboros-3_1-yi-34b-200k
  layer_range: [30, 44] 
- model: migtissera/Tess-M-v1.3
  layer_range: [37, 51]  
- model: bhenrym14/airoboros-3_1-yi-34b-200k
  layer_range: [45, 59] 

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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here