Megakiqu-120b
MegaDolphin-120B๋ Venus-120B๊ณผ ์ ์ฌํ๊ฒ passthrough method๋ก ํ์ฅ๋ ๋ชจ๋ธ.This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Original Model Card
kiqu-70b (Arena Leaderboard)
kiqu-70b is a SFT+DPO trained model based on Miqu-70B-Alpaca-DPO using Korean datasets.
Since this model is finetune of miqu-1-70b using it on commercial purposes is at your own risk. โ leaked early version Mistral-Medium
๋ณธ ๋ชจ๋ธ kiqu-70b๋ Miqu-70B-Alpaca-DPO ๋ชจ๋ธ์ ๊ธฐ๋ฐ์ผ๋ก ํ๊ตญ์ด ๋ฐ์ดํฐ์ ์ ์ฌ์ฉํ์ฌ SFT+DPO ํ๋ จ์ ์งํํ์ฌ ์ ์๋์์ต๋๋ค.
๋ฒ ์ด์ค ๋ชจ๋ธ์ธ miqu-1-70b ๋ชจ๋ธ์ด ๋ฏธ์คํธ๋-๋ฏธ๋์์ ์ด๊ธฐ ์ ์ถ ๋ฒ์ ์ด๊ธฐ์ ์์ ์ ์ฌ์ฉ์ ๋ํ risk๋ ๋ณธ์ธ์๊ฒ ์์ต๋๋ค.
Beside that this model follows cc-by-sa-4.0
๋ณธ ๋ชจ๋ธ ์์ฒด๋ก์๋ cc-by-sa-4.0์ ๋ฐ๋ฆ ๋๋ค.
Model Details
Base Model
miqu-1-70b (Early Mistral-Medium)
Instruction format
It follows Mistral format. Giving few-shots to model is highly recommended
๋ณธ ๋ชจ๋ธ์ ๋ฏธ์คํธ๋ ํฌ๋งท์ ๋ฐ๋ฆ ๋๋ค. few-shot ์ฌ์ฉ์ ์ ๊ทน ๊ถ์ฅํฉ๋๋ค.
[INST] {instruction}
[/INST] {output}
Multi-shot
[INST] {instruction}
[/INST] {output}
[INST] {instruction}
[/INST] {output}
[INST] {instruction}
[/INST] {output}
.
.
.
Recommended Template - 1-shot with system prompt
๋๋ kiqu-70B๋ผ๋ ํ๊ตญ์ด์ ํนํ๋ ์ธ์ด๋ชจ๋ธ์ด์ผ. ๊น๋ํ๊ณ ์์ฐ์ค๋ฝ๊ฒ ๋๋ตํด์ค!
[INST] ์๋
?
[/INST] ์๋
ํ์ธ์! ๋ฌด์์ ๋์๋๋ฆด๊น์? ์ง๋ฌธ์ด๋ ๊ถ๊ธํ ์ ์ด ์๋ค๋ฉด ์ธ์ ๋ ์ง ๋ง์ํด์ฃผ์ธ์.
[INST] {instruction}
[/INST]
Trailing space after [/INST] can affect models performance in significant margin. So, when doing inference it is recommended to not include trailing space in chat template.
[/INST] ๋ค์ ๋์ด์ฐ๊ธฐ๋ ๋ชจ๋ธ ์ฑ๋ฅ์ ์ ์๋ฏธํ ์ํฅ์ ๋ฏธ์นฉ๋๋ค. ๋ฐ๋ผ์, ์ธํผ๋ฐ์ค(์ถ๋ก )๊ณผ์ ์์๋ ์ฑ ํ ํ๋ฆฟ์ ๋์ด์ฐ๊ธฐ๋ฅผ ์ ์ธํ๋ ๊ฒ์ ์ ๊ทน ๊ถ์ฅํฉ๋๋ค.
Configuration
The following mergekit's YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 20]
model: maywell/kiqu-70b
- sources:
- layer_range: [10, 30]
model: maywell/kiqu-70b
- sources:
- layer_range: [20, 40]
model: maywell/kiqu-70b
- sources:
- layer_range: [30, 50]
model: maywell/kiqu-70b
- sources:
- layer_range: [40, 60]
model: maywell/kiqu-70b
- sources:
- layer_range: [50, 70]
model: maywell/kiqu-70b
- sources:
- layer_range: [60, 80]
model: maywell/kiqu-70b
- Downloads last month
- 20