7023e2a4ffThe model list merge order was `top_gguf + top_hub + static_models`, which meant the HF download-ranked models always came first. New models like Gemma 4 have low download counts and were not in the HF top-40, so they got buried after 80 other models despite being at the top of the curated static defaults in defaults.py. Flip the merge to `static_models + top_gguf + top_hub` so editorial picks (new model launches, promoted models) always appear first in the Recommended section, with HF popularity backfilling after. Co-authored-by: Daniel Han <danielhanchen@users.noreply.github.com> |
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| data_recipe | ||
| export | ||
| inference | ||
| training | ||
| __init__.py | ||