README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- google/tapas-base-finetuned-wtq
- beomi/kcbert-base
---

# TAPAS-KCBERT-slerp

TAPAS-KCBERT-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [google/tapas-base-finetuned-wtq](https://huggingface.co/google/tapas-base-finetuned-wtq)
* [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: google/tapas-base-finetuned-wtq
        layer_range: [0, 12]  # TAPAS 모델의 레이어 범위
      - model: beomi/kcbert-base
        layer_range: [0, 12]  # KCBERT 모델의 레이어 범위
merge_method: slerp
base_model: google/tapas-base-finetuned-wtq
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16