VLM Edge Studio Demo – Qwen‑VL Initialization Failure

[#1]

Applies to: VLM Edge Studio Demo using Qwen‑VL backend
Workaround: Apply the attached apply_qwenvl_fix.sh script

In the current VLM Edge Studio Demo, users may encounter a runtime failure when starting the Qwen‑VL Vision Language Model. The issue is caused by incorrect processor initialization, where the code attempts to load tokenizer and image processor assets directly from a hard‑coded Hugging Face model reference instead of the locally deployed tokenizer path.

This typically manifests as:

• Model startup failures
• Tokenizer / processor load errors
• Inconsistent behavior when running in offline environments

To fix no configuration changes are required, copy and apply the provided patch on the board:

root@imx95evk:~# chmod a+x apply_qwenvl_fix.sh
root@imx95evk:~# sh apply_qwenvl_fix.sh

remarks: please make sure the path in the script match your installation:
PROD_FILE="/usr/share/eiq/aaf-connector/venv/lib/python3.13/site-packages/eiq_aaf_connector/llm_engines/QwenVL.py"