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Adding Evaluation Results (#1)
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metadata
license: other
language:
  - en
  - zh
library_name: transformers
pipeline_tag: text-generation
inference: false
tags:
  - baichuan
  - llama2
  - baichuan2

This is the LLaMAfied version of Baichuan2-7B-Base model by Baichuan Inc.

This model is converted with https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_baichuan2.py

You may use this model for fine-tuning in downstream tasks, we recommend using our efficient fine-tuning toolkit. https://github.com/hiyouga/LLaMA-Factory

  • Developed by: Baichuan Inc.
  • Language(s) (NLP): Chinese/English
  • License: Baichuan2 License

Usage:

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("hiyouga/Baichuan2-7B-Base-LLaMAfied", use_fast=False)
model = AutoModelForCausalLM.from_pretrained("hiyouga/Baichuan2-7B-Base-LLaMAfied").cuda()

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 42.83
ARC (25-shot) 49.57
HellaSwag (10-shot) 73.45
MMLU (5-shot) 54.86
TruthfulQA (0-shot) 37.54
Winogrande (5-shot) 70.72
GSM8K (5-shot) 7.81
DROP (3-shot) 5.85