A rented images pod downloaded SDXL for ten minutes and then failed with "No
package metadata was found for bitsandbytes". models.json carries quantization
settings for EVERY model type, not just LLMs, but bitsandbytes was only in the
text profile. It moves to core, the shared layer under all ten images.

stt and ocr were reachability-only, which reported ok:true while proving nothing
beyond "a URL is configured" — a pass that would survive a completely broken
pod. Both inputs can be synthesised honestly: espeak speaks a known sentence,
PIL draws known words. The result is checked against what went in, so a model
that returns fluent nonsense fails too. When the synthesis itself cannot run (no
espeak, no fonts) the probe falls back to the reachability check rather than
blaming the model for a gap on this side.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0182DhR1eFNPQyGmDrpHbedY