---
license: apache-2.0
language:
- zh
---
A instruction-tuned LoRA model of https://huggingface.co/baichuan-inc/baichuan-7B
Training framework: https://github.com/hiyouga/LLaMA-Factory
Please follow the baichuan-7B License to use this model.

Usage:
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer

tokenizer = AutoTokenizer.from_pretrained("hiyouga/baichuan-7b-sft", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("hiyouga/baichuan-7b-sft", trust_remote_code=True).cuda()
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)

query = "晚上睡不着怎么办"
template = (
    "你是一名经验丰富的心理咨询师，专长于认知行为疗法, 以心理咨询师的身份回答以下问题。\n"
    "Human: {}\nAssistant: "
)

inputs = tokenizer([template.format(query)], return_tensors="pt")
inputs = inputs.to("cuda")
generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)