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---
license: other
license_name: yi-license
license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
language:
- en,
pipeline_tag: conversational
---
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/644ba0c76ebb3ebf7264dbe9/PWn9I-0XH7kSP_YXcyxIg.png" width="400"/>
</p>
---
# SG Raccoon 55B
The first 55B auto-regressive causal LM created by combining 2x finetuned [Yi 34b](https://huggingface.co/01-ai/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](https://huggingface.co/migtissera/Tess-M-v1.3/) and [Nous-Capybara-34B](https://huggingface.co/NousResearch/Nous-Capybara-34B).
The layer ranges used are as follows:
```yaml
- model: migtissera/Tess-M-v1.3
layer_range: [0, 14]
- model: NousResearch/Nous-Capybara-34B
layer_range: [7, 21]
- model: migtissera/Tess-M-v1.3
layer_range: [15, 29]
- model: NousResearch/Nous-Capybara-34B
layer_range: [22, 36]
- model: migtissera/Tess-M-v1.3
layer_range: [30, 44]
- model: NousResearch/Nous-Capybara-34B
layer_range: [37, 51]
- model: migtissera/Tess-M-v1.3
layer_range: [45, 59]
```
# Benchmarks
Coming soon.
# Acknowledgements
- Special thanks to [MSS](https://milanosamplesale.com/) for sponsoring this project
- [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit).
- Great thanks to [@Undi95](https://huggingface.co/Undi95) for helping figuring out model merge options
- Also credits to the [01-ai](https://huggingface.co/01-ai) team for their amazing models
- This merged model is inspired by [Goliath 120B](https://huggingface.co/alpindale/goliath-120b) |