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metadata
language:
  - en
pipeline_tag: text-generation
license: cc-by-nc-sa-4.0
tags:
  - merge

Sakura-SOLAR-Instruct

(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다

Model Details

Model Developers Kyujin Han (kyujinpy)

Method
Using Mergekit.
I shared the information about my model. (training and code)
Please see: ⭐Sakura-SOLAR.

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Model Benchmark

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Model Average ARC HellaSwag MMLU TruthfulQA Winogrande GSM8K
Sakura-SOLRCA-Instruct-DPO 74.05 71.16 88.49 66.17 72.10 82.95 63.46
Sakura-SOLAR-Instruct-DPO-v2 74.14 70.90 88.41 66.48 71.86 83.43 63.76
kyujinpy/Sakura-SOLAR-Instruct 74.40 70.99 88.42 66.33 71.79 83.66 65.20

Rank1 2023.12.27 PM 11:50

Implementation Code

### KO-Platypus
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo = "kyujinpy/Sakura-SOLAR-Instruct"
OpenOrca = AutoModelForCausalLM.from_pretrained(
        repo,
        return_dict=True,
        torch_dtype=torch.float16,
        device_map='auto'
)
OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)