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--- |
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license: other |
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license_name: yi-license |
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license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE |
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language: |
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- en, |
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pipeline_tag: conversational |
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--- |
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<p align="center"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/644ba0c76ebb3ebf7264dbe9/PWn9I-0XH7kSP_YXcyxIg.png" width="400"/> |
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</p> |
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--- |
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# This is a retired model since it was merged with a Capybara, which has been trained wrong with a missing eos_token. Check out the new models: [1](https://huggingface.co/mlinmg/SG-Raccoon-Yi-55B-200k-2.0) | [2](https://huggingface.co/mlinmg/GS-Raccoon-Yi-55B-200k-2.0) |
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# SG Raccoon 55B |
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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. |
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# Prompting Format |
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``` |
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SYSTEM: <ANY SYSTEM CONTEXT> |
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USER: |
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ASSISTANT: |
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``` |
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# Merge process |
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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). |
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The layer ranges used are as follows: |
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```yaml |
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- model: migtissera/Tess-M-v1.3 |
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layer_range: [0, 14] |
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- model: NousResearch/Nous-Capybara-34B |
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layer_range: [7, 21] |
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- model: migtissera/Tess-M-v1.3 |
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layer_range: [15, 29] |
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- model: NousResearch/Nous-Capybara-34B |
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layer_range: [22, 36] |
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- model: migtissera/Tess-M-v1.3 |
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layer_range: [30, 44] |
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- model: NousResearch/Nous-Capybara-34B |
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layer_range: [37, 51] |
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- model: migtissera/Tess-M-v1.3 |
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layer_range: [45, 59] |
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``` |
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# Tips |
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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. |
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Sometimes the model "spells out" the stop token as </s> like Capybara, so you may need to add </s> as an additional stopping condition. |
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# Benchmarks |
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Coming soon. |
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# Acknowledgements |
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- Special thanks to [MSS](https://milanosamplesale.com/) for sponsoring this project |
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- [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit). |
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- Great thanks to [@Undi95](https://huggingface.co/Undi95) for helping figuring out model merge options |
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- Also credits to the [01-ai](https://huggingface.co/01-ai) team for their amazing models |
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- This merged model is inspired by [Goliath 120B](https://huggingface.co/alpindale/goliath-120b) |
