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--- |
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base_model: [] |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- llama 3 |
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- Model stock |
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--- |
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# Merge_XL_model_Stock |
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Ofcourse the model is still fully focussed on uncensored long context Roleplay and Story. |
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By far the best itteration. |
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This model switches to the Smaug instruct 32K for the base bodel. |
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Expanded with Giraffe and Gradient to keep a robuust long context window. |
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Higgs and cat for most of the story and RP aspects. |
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Hermes and Chinese chat are for overall intelligence and understanding. |
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## Merge Details |
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### Merge Method |
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using \Smaug-Llama-3-70B-Instruct-32K as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* \Llama-3-Giraffe-70B-Instruct |
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* \Llama-3-70B-Instruct-Gradient-262k |
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* \Hermes-2-Theta-Llama-3-70B |
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* \Higgs-Llama-3-70B |
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* \Llama3-70B-Chinese-Chat |
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* \Meta-LLama-3-Cat-A-LLama-70b |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: \Smaug-Llama-3-70B-Instruct-32K |
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- model: \Llama-3-70B-Instruct-Gradient-262k |
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- model: \Llama-3-Giraffe-70B-Instruct |
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- model: \Higgs-Llama-3-70B |
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- model: \Llama3-70B-Chinese-Chat |
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- model: \Meta-LLama-3-Cat-A-LLama-70b |
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- model: \Hermes-2-Theta-Llama-3-70B |
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merge_method: model_stock |
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base_model: \Smaug-Llama-3-70B-Instruct-32K |
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dtype: bfloat16 |
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``` |
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Any suggestions are very welcome |
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My personal sampling settings are: |
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"temp": 1, |
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"temperature_last": true, |
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"top_p": 1, |
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"top_k": 0, |
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"top_a": 0, |
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"tfs": 1, |
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"typical_p": 1, |
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"min_p": 0.05, |
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"rep_pen": 1.05, |
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"rep_pen_range": 4096, |
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"rep_pen_decay": 0, |
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"rep_pen_slope": 1, |
