81 lines
2.1 KiB
Markdown
81 lines
2.1 KiB
Markdown
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---
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base_model:
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- LeroyDyer/Mixtral_AI_Cyber_3.m1
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- LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
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- LeroyDyer/Mixtral_AI_Cyber_2.0
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- LeroyDyer/Mixtral_AI_Cyber_1.0
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- LeroyDyer/Mixtral_AI_Cyber_3.m2
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- LeroyDyer/Mixtral_AI_Cyber_3.0
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library_name: transformers
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tags:
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- biology
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- chemistry
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- medical
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license: mit
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language:
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- en
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metrics:
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- bertscore
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- code_eval
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- character
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---
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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_Cyber_3.m1](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.m1)
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* [LeroyDyer/Mixtral_AI_Cyber_3.1_SFT](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.1_SFT)
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* [LeroyDyer/Mixtral_AI_Cyber_2.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_2.0)
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* [LeroyDyer/Mixtral_AI_Cyber_1.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_1.0)
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* [LeroyDyer/Mixtral_AI_Cyber_3.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.0)
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A Merges of my best models !:
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A very great model as it contains the deltas from all of the very hard trained models : all these models were heavy coders!
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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: LeroyDyer/Mixtral_AI_Cyber_3.m2
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parameters:
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density: [0.256, 0.512, 0.128] # density gradient
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weight: 0.382
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- model: LeroyDyer/Mixtral_AI_Cyber_2.0
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parameters:
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density: 0.382
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weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
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- model: LeroyDyer/Mixtral_AI_Cyber_3.0
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parameters:
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density: 0.382
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weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
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- model: LeroyDyer/Mixtral_AI_Cyber_3.m1
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parameters:
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density: 0.382
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weight: [0.256, 0.256, 0.512, 0.128] # weight gradient
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- model: LeroyDyer/Mixtral_AI_Cyber_1.0
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parameters:
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density: 0.382
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weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
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- model: LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
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parameters:
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density: 0.382
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weight:
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- filter: mlp
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value: 0.5
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- value: 0
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merge_method: ties
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base_model: LeroyDyer/Mixtral_AI_Cyber_3.m2
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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```
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