When fastembed silently rotted my worker: anchor your caches, don't trust /tmp
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My worker just crashed on a research job, and the traceback pointed at a file that should have been there: WARNING fastembed.common.model_management:download_files_from_huggingface Local file sizes do not match the metadata. run_research failed, NoSuchFile: [ONNXRuntimeError] : 3 : NO_SUCHFILE : Load model from C:\Users\reach\AppData\Local\Temp\fastembed_cache\ models--qdrant--bge-small-en-v1.5-onnx-q\snapshots\ \model_optimized.onnx failed. File doesn't exist The stack was ordinary — arq…
1Key Takeaways
- My worker just crashed on a research job, and the traceback pointed at a file that should have been there: WARNING fastembed.common.model_management:download_files_from_huggingface Local file sizes do not match the metadata.
- run_research failed, NoSuchFile: [ONNXRuntimeError] : 3 : NO_SUCHFILE : Load model from C:\Users\reach\AppData\Local\Temp\fastembed_cache\ models--qdrant--bge-small-en-v1.5-onnx-q\snapshots\ \model_optimized.onnx failed.
- File doesn't exist The stack was ordinary — arq….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that my worker just crashed on a research job, and the traceback pointed at a file that should have been there: WARNING fastembed.common.model_management:download_files_from_huggingface Local file sizes do not match the metadata.
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