Alex Jones b2b35d60d1 fix: preserve popularity metadata through scraper merge and discovery ... Three fixes for metadata loss during catalog regeneration: - The additive merge with the existing database now backfills hf_downloads/hf_likes/release_date/languages from the previous catalog when the fresh entry lacks them. Unauthenticated runs replace gated models with FALLBACK stubs (0 downloads/likes), which previously clobbered real values from earlier scrapes. - _build_discovered_model now fetches full model info when the listing omits downloads/likes (non-download sort strategies like trending return listings without these fields), instead of writing zeros into the catalog. - infer_languages derives the language for Meta MMS per-language models (facebook/mms-tts-<iso639-3>) from the repo name, since these models declare no language metadata via the API. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>		2026-07-05 16:28:38 +01:00
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install-openclaw-skill.sh	docs: brew official formula	2026-03-02 11:58:15 +07:00
scrape_benchmarks.py	chore: remove duplicated root data/ copies of catalog and benchmark cache	2026-07-02 21:49:07 +01:00
scrape_docker_models.py	feat: add Docker Model Runner as a runtime provider	2026-03-14 17:42:58 +00:00
scrape_hf_models.py	fix: preserve popularity metadata through scraper merge and discovery	2026-07-05 16:28:38 +01:00
test_api.py	feat: adding serve capabilities	2026-03-03 14:16:31 +00:00
update_models.sh	chore: remove duplicated root data/ copies of catalog and benchmark cache	2026-07-02 21:49:07 +01:00
validate_generation_scoring.py	chore: remove duplicated root data/ copies of catalog and benchmark cache	2026-07-02 21:49:07 +01:00
verify_models.py	feat: caught some unavailable models on ollama	2026-02-19 10:40:18 +00:00