LongCat-Video-Avatar-1.5 is a transformer and an audio encoder: base_model/,
base_model_int8/, lora/dmd_lora, scheduler/, whisper-large-v3/. It has NO
tokenizer, text_encoder or vae. Its README says so in its own frontmatter
(`base_model: meituan-longcat/LongCat-Video`) and upstream's instructions
download both repos side by side.

Validated against the base checkpoint's layout it reported four missing
directories that were never part of the repo, and the loader would then have
asked from_pretrained for a text_encoder/ that does not exist — and for
subfolder="dit", where the avatar transformer is base_model/.

So the layout is family-aware now. An avatar checkpoint contributes its
scheduler, its transformer (base_model/ at bf16, base_model_int8/ at int8) and
its LoRA; tokenizer/text_encoder/vae are borrowed from a base checkpoint, named
by `base_model` per model or falling back to the upstream repo id, which
resolve_checkpoint() turns into a local snapshot. A base checkpoint that is
absent or incomplete is reported AS the base checkpoint, rather than as a
tokenizer missing from the avatar repo, which sends you looking in the wrong
place.

Either transformer alone is enough to validate: base_model/ is 31.7 GB of bf16
that cannot fit a 24 GB card, so it is deliberately not downloaded here.

Verified against the real checkpoint: family avatar-1.5, shared components
resolving to the base snapshot, 4 INT8 shards with 2241 keys matching the index
and 633 quantised Linear layers (the base DiT has 437 — the difference is the
audio cross-attention), dmd_lora present. All three validators return [].
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0185zEBiy3KWB37xNGSrxL7w