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- VLM Edge Studio Demo – Qwen‑VL Initialization Failure
VLM Edge Studio Demo – Qwen‑VL Initialization Failure
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VLM Edge Studio Demo – Qwen‑VL Initialization Failure
VLM Edge Studio Demo – Qwen‑VL Initialization Failure
Applies to: VLM Edge Studio Demo using Qwen‑VL backend
Workaround: Apply the attached
Workaround: Apply the attached
apply_qwenvl_fix.sh scriptIn 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"
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