---
library_name: transformers
tags:
- llama3
license: llama3
language:
- ja
- en
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
*実験モデルです / This is an experimental model.*  
[lightblue/suzume-llama-3-8B-japanese](https://huggingface.co/lightblue/suzume-llama-3-8B-japanese)と、  
[meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)の差分をchat-vectorアプローチで抽出し、  
[meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)に適用しました  

## 結果
差分が小さいのかあまり変化がありませんでした  
今後は倍率など付与してみようと思います.


## 手順/procedure
[chat_vector.ipynb](https://huggingface.co/mmnga/Llama-3-70B-japanese-suzume-vector/blob/main/notebook/chat_vector.ipynb)  

- ja
1. `meta-llama/Meta-Llama-3-8B-Instruct`と`lightblue/suzume-llama-3-8B-japanese`の差分を作成
2. shapeが異なるので、差分をmeta-llama/Meta-Llama-3-70B-Instruct用にアップサンプリング
3. 前から 8-layer、最後から8-layerはそのまま適用
4. 中間layerを引き延ばして適用

- en
1. Create the difference between `meta-llama/Meta-Llama-3-8B-Instruct` and `lightblue/zume-llama-3-8B-japanese`
2. Since the shapes are different, the difference is upsampled for meta-llama/Meta-Llama-3-70B-Instruct
3. Apply the 8 layers from the front and 8 layers from the end as they are.
4. Continue applying the middle layer

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