license, language, library_name, pipeline_tag, inference, tags
| license | language | library_name | pipeline_tag | inference | tags | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| other |
|
transformers | text-generation | false |
|
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 |