--- license: other license_name: yi-license license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE language: - en, pipeline_tag: conversational ---

--- # SG Raccoon 55B The first 55B auto-regressive causal LM created by combining 2x finetuned llamafied [Yi 34b](https://huggingface.co/01-ai/Yi-34B) with *200K context* into one. # Prompting Format ``` SYSTEM: USER: ASSISTANT: ``` # Merge process The models used in the merge are [Tess-M-v1.3](https://huggingface.co/migtissera/Tess-M-v1.3/) and [airoboros-3_1-yi-34b-200k](bhenrym14/airoboros-3_1-yi-34b-200k). The layer ranges used are as follows: ```yaml - 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 like Capybara, so you may need to add as an additional stopping condition. # 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)