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I successfully executed the python file to apply 4-bit quantization to the 2.7-billion Microsoft Phi-2 model, and output a 1.7G openvino_model.bin model file.
I thought, let's run Huggingface text-generation-inference service locally + huggingface chat-ui locally and point chat-ui to tgi 127.0.0.1:8080/generate_stream.
But when trying to run TGI on my Intel® Core™ Ultra 7 155H, it says this: docker: Error response from daemon: could not select device driver "" with capabilities: [[gpu]].
docker run --rm --network none --gpus all -p 8080:8080 -v /home/victor/llm-ai/huggingface/phi-2-openvino:/data --pull always ghcr.io/huggingface/text-generation-inference:latest --model-id /data/openvino_model.bin
Status: Image is up to date for ghcr.io/huggingface/text-generation-inference:latest
docker: Error response from daemon: could not select device driver "" with capabilities: [[gpu]].
I guess TGI docker image is missing support for Intel Arc iGPU?
If that's the case, how did this guy shot this video?
Motivation
Leverage Intel Arc iGPU on Meteor Lake
Your contribution
Happy to try any solution on my hardware
The text was updated successfully, but these errors were encountered:
Feature request
After reading this blogpost https://huggingface.co/blog/phi2-intel-meteor-lake, I tried the instructions. My goal is to run phi2 100% locally.
I successfully executed the python file to apply 4-bit quantization to the 2.7-billion Microsoft Phi-2 model, and output a 1.7G
openvino_model.bin
model file.I thought, let's run Huggingface text-generation-inference service locally + huggingface chat-ui locally and point chat-ui to tgi
127.0.0.1:8080/generate_stream
.But when trying to run TGI on my Intel® Core™ Ultra 7 155H, it says this:
docker: Error response from daemon: could not select device driver "" with capabilities: [[gpu]].
I guess TGI docker image is missing support for Intel Arc iGPU?
If that's the case, how did this guy shot this video?
Motivation
Leverage Intel Arc iGPU on Meteor Lake
Your contribution
Happy to try any solution on my hardware
The text was updated successfully, but these errors were encountered: