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base_model:
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- Blazgo/temp-model-for-2-mini-007-final
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library_name: transformers
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tags:
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---
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## Merge Details
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### Merge Method
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This model was merged using the [SLERP](https://en.wikipedia.org/wiki/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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* [Blazgo/temp-model-for-2-mini-008-final](https://huggingface.co/Blazgo/temp-model-for-2-mini-008-final)
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* [Blazgo/temp-model-for-2-mini-007-final](https://huggingface.co/Blazgo/temp-model-for-2-mini-007-final)
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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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- model: Blazgo/temp-model-for-2-mini-007-final
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- model: Blazgo/temp-model-for-2-mini-008-final
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merge_method: slerp
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base_model: Blazgo/temp-model-for-2-mini-007-final
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dtype: bfloat16
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parameters:
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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base_model:
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- deepseek-ai/DeepSeek-R1
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library_name: transformers
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tags:
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- reasoning
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- R1
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- 1M
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- fast
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- Deca
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- Deca-AI
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- Deca-2
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- Qwen
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license: other
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The Deca 2 family of models is currently in BETA
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The Deca 2 family of models, currently in BETA, is built on cutting-edge architectures like DeepSeek R1, and Qwen 2, delivering extraordinary performance. With a focus on insane speed and high efficiency, Deca 2 is revolutionizing text generation and setting new standards in the industry. It also comes with a **1 million** context window.
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As more capabilities are added, Deca 2 will evolve into a more powerful, any-to-any model in the future. While it’s focused on text generation for now, its foundation is designed to scale, bringing even more advanced functionalities to come.
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* **2/14 Realase:**
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* Enhanced Instruction Following
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