This is the LLaMAfied version of Baichuan2-7B-Chat 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, TextStreamer

tokenizer = AutoTokenizer.from_pretrained("hiyouga/Baichuan2-7B-Chat-LLaMAfied", use_fast=False)
model = AutoModelForCausalLM.from_pretrained("hiyouga/Baichuan2-7B-Chat-LLaMAfied").cuda()
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)

query = "<reserved_106>晚上睡不着怎么办<reserved_107>"
inputs = tokenizer([query], return_tensors="pt")
inputs = inputs.to("cuda")
generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)

You could also alternatively launch a CLI demo by using the script in LLaMA-Factory

python src/cli_demo.py --template baichuan2 --model_name_or_path hiyouga/Baichuan2-7B-Chat-LLaMAfied

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	47.92
ARC (25-shot)	52.47
HellaSwag (10-shot)	74.04
MMLU (5-shot)	53.88
TruthfulQA (0-shot)	48.04
Winogrande (5-shot)	69.14
GSM8K (5-shot)	10.92
DROP (3-shot)	26.94