Comments (1)
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.
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Related Issues (20)
- Ollama Linux seg fault with GPU on Ubuntu 22.04 HOT 3
- Ollama on Windows not working HOT 4
- GLM-4-9B-Chat missing 'import math' HOT 1
- Error running llama.cpp with IPEX-LLM on MTL iGPU following quickstart guide (Native API returns: -30 (PI_ERROR_INVALID_VALUE)) HOT 16
- [utils] invalidInputError during RuntimeError HOT 8
- [qwen2][windows][MTL] 6-8k input token OOM HOT 3
- Qwen-7b int8 inference speed is too slow, only 3-4 tokens/s. HOT 2
- libze_loader.so.1: cannot open shared object file: No such file or directory HOT 1
- RuntimeError: could not create a primitive HOT 3
- run GLM4-9b-chat on MTL iGPU get error: pyo3_runtime.PanicException: index out of bounds: HOT 2
- Could you help to enable GLM-4v-9b? HOT 2
- llama2 Segmentation fault (core dumped) on i7-9700K HOT 4
- Can faster whisper run on Intel iGPU or Arc DGPU? HOT 2
- vllm converting model to sym_int4 even when --load-in-low-bit sym_int4 not set HOT 3
- Cannot find dGPU when install ollama on Windows HOT 1
- error with ipex-llm langchain integration for LLAVA model HOT 14
- error with loading 4bit saved LLava model on CPU HOT 3
- Benchmark latency different between oneAPI2024.0 and 2024.1 HOT 1
- Phi3 3.8B mini 128k model not supported HOT 1
- vLLM CPU example load-in-low-bit is not used HOT 2
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