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--- |
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base_model: |
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- LeroyDyer/Mixtral_AI_CyberBrain_2.0 |
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- ezelikman/quietstar-8-ahead |
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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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license: mit |
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language: |
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- en |
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--- |
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hopefully this merge took correctly ! .... |
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Enabling for thights to be displayed ; |
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obviously untrained and will still need fine tuning ! |
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as well as it has not been correctly coded for true management via transformers pretrained args. |
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i will try to add the other arch: leaving it available to perhaps load with different remote auto mapping! , |
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I will leve both automapping here and test both models to see which configuration loads correctly for training ! then wich loads correctly for usage ; as this also has been a minor issue ; |
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the internall heads have default settings ; with remote code installed then its should be configuarble. |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [LeroyDyer/Mixtral_AI_CyberBrain_2.0](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_2.0) |
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* [ezelikman/quietstar-8-ahead](https://huggingface.co/ezelikman/quietstar-8-ahead) |
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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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slices: |
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- sources: |
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- model: LeroyDyer/Mixtral_AI_CyberBrain_2.0 |
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layer_range: [0, 32] |
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- model: ezelikman/quietstar-8-ahead |
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layer_range: [0, 32] |
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# or, the equivalent models: syntax: |
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# models: |
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# - model: mistralai/Mistral-7B-Instruct-v0.2 |
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# LaRGER MODEL MUST BE BASE or |
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# BASE MODEL MUST BE THE TOKENIZER YOU WISH TO ADOPT |
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# so for models with customized processes they must be the base model |
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# If the base model has remote code then this must be collected and added |
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# to the repo after and the config file adusted to allow for automapping to your new repo |
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# - model: yanismiraoui/Yarn-Mistral-7b-128k-sharded |
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merge_method: slerp |
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base_model: ezelikman/quietstar-8-ahead |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0.3, 0.6, 0.3786, 0.6, 0.6] |
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- filter: mlp |
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value: [0.7, 0.4, 0.6, 0.4, 0.7] |
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- value: 0.5 # fallback for rest of tensors |
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dtype: float16 |
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``` |
