[Feature]internlm-xcomposer2-vl-7b support about bigdl HOT 2 CLOSED

import torch

from ipex_llm.transformers import AutoModelForCausalLM
from transformers import AutoTokenizer

ckpt_path = "<internlm-xcomposer2-vl-7b>"
tokenizer = AutoTokenizer.from_pretrained(ckpt_path, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(ckpt_path, trust_remote_code=True,
                                             load_in_low_bit="sym_int8")  # use sym_int8 for better output
model = model.eval()

query = '<ImageHere>Please describe this image in detail.'
image = './image1.webp'

model = model.to('xpu')

response, _ = model.chat(tokenizer, query=query, image=image, history=[], do_sample=False)
print(response)