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hiyouga/Baichuan2-7B-Chat-LLaMAfied

sourceHugging Faceotherupdated 3y agoView on Hugging Face
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Model Card

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:

python
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

bash
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

MetricValue
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