Daily GGUF Data Update Failed - 2026-07-27

[github-actions]

Automation Failure: Daily Data Update

Failure Type: Data Update Process
Timestamp: 2026-07-27T03:35:03.472Z
Workflow Run: 30234350936

Failure Context

• Data Fetch Success: false
• Authentication Used: No
• Output File Valid: Unknown
• Raw Data Valid: Unknown
• Models Processed: Unknown
• Raw Models Found: Unknown

Error Details

The daily GGUF model data update workflow failed. This workflow includes:

• Authenticated Hugging Face API requests
• Verbose logging for detailed diagnostics
• Comprehensive data verification
• Spam filtering with integrated processing
• Enhanced error reporting

Affected Components

• Data files (data/raw_models_data.json, gguf_models.json)
• Data verification and integrity checks
• Dependencies
• Deployment
• Tests

Enhanced Diagnostics Available

1. Verbose Logging: Check workflow logs for detailed execution information
2. Data Verification: Review file integrity checks
3. Authentication Status: Verify HF_TOKEN secret configuration

Recommended Actions

1. Check Enhanced Logs: Review verbose output from simplified_gguf_fetcher.py
2. Verify Authentication: Ensure HF_TOKEN secret is properly configured
3. Check Data Integrity: Review verification step outputs
4. API Status: Verify Hugging Face API accessibility and rate limits
5. Disk Space: Ensure sufficient space for data files

Configuration Details

• Script Command: python scripts/simplified_gguf_fetcher.py --verbose --token [REDACTED]
• Spam Filtering: Enabled with integrated processing
• Data Verification: JSON validation and model count verification
• Retry Logic: 3 attempts with exponential backoff (5min, 10min, 20min)

Next Steps

• Review workflow logs for specific error messages
• Verify HF_TOKEN secret is valid and has appropriate permissions
• Re-run the workflow manually once issues are resolved
• Consider temporary --disable-spam-filter flag if spam filtering is causing issues