57 lines
1.5 KiB
Markdown
57 lines
1.5 KiB
Markdown
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---
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base_model:
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- Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
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- Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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- Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
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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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---
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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](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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* [Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion)
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* [Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8)
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* [Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5)
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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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base_model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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merge_method: slerp
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tokenizer_source: base
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dtype: bfloat16
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parameters:
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t:
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- filter: self_attn
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value: [0.0, 0.5, 0.3, 0.7, 1.0]
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- filter: mlp
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value: [1.0, 0.5, 0.7, 0.3, 0.0]
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- value: 0.5
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slices:
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- sources:
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- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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layer_range: [0, 24]
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- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
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layer_range: [0, 24]
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- sources:
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- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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layer_range: [24, 48]
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- model: Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
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layer_range: [24, 48]
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```
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