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leonardozcm avatar leonardozcm commented on June 20, 2024

We need to do some adaptation work for this gptj quantified qwen-vl model https://github.com/intel-analytics/ipex-llm/blob/main/python/llm/example/GPU/PyTorch-Models/Model/qwen-vl/chat.py. If your goal is to use the qwen-vl model on mtl linux, we recommend that you use save_low_bit to save Qwen-VL-Chat on other machines with sufficient memory. The int4 model in ipex-llm format, and then load it on mtl linux:

First check your linux driver and level zero version refer to" https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html#linux

Then SAVE Qwen-VL:

# save low bit
    model = AutoModelForCausalLM.from_pretrained(model_path, 
                                                 load_in_4bit=True, 
                                                 trust_remote_code=True, 
                                                 modules_to_not_convert=['c_fc', 'out_proj'],
                                                 torch_dtype=torch.float32)
     model.save_low_bit(model_path+"-ipex-int4")

LOAD:

    model = AutoModelForCausalLM.load_low_bit(model_path+"-int4", 
                                                #  load_in_4bit=True, 
                                                 trust_remote_code=True, 
                                                 modules_to_not_convert=['c_fc', 'out_proj'],
                                                 torch_dtype=torch.float32)

output:

-------------------- Session 1 --------------------
 Please input a picture: test.jpg
 Please enter the text: what is it
---------- Response ----------
-------------------- Session 1 --------------------
 Please input a picture: pic.jpg
 Please enter the text: what is it?
---------- Response ----------
This is an anime scene. Against a blue sky, a black boy with wings on his back stands with his arms raised. Next to him is a white boy with a black cardigan and a tie.

from bigdl.

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