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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- google/tapas-base-finetuned-wtq
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- beomi/kcbert-base
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---
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# TAPAS-KCBERT-slerp
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TAPAS-KCBERT-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [google/tapas-base-finetuned-wtq](https://huggingface.co/google/tapas-base-finetuned-wtq)
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* [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: google/tapas-base-finetuned-wtq
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layer_range: [0, 12] # TAPAS 모델의 레이어 범위
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- model: beomi/kcbert-base
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layer_range: [0, 12] # KCBERT 모델의 레이어 범위
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merge_method: slerp
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base_model: google/tapas-base-finetuned-wtq
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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