v0.7.0

Add Qwen3.5 0.8B and Qwen3 4B, and let the heavy one stay off auto

Two models the browser can actually run have appeared since the model
table was last surveyed. Both are added with their revisions pinned.

qwen35_08 is the real find: 469MB in the browser, which is lighter than
the current default (900MB) and lighter than qwen3_06, the entry added
specifically to rescue low-memory devices — while being two generations
newer. Loaded through our own Colab path it answers 富士山 and 0℃ and
carries a name across turns; it writes 冰点 with the Chinese character
now and then, which is worth knowing before it reaches a classroom.

qwen3_4b is the answer to "something smarter", and it is 2.9GB per
student — 116GB for a class of forty. It is listed and loadable by name,
but auto and recommend() will not choose it: whether a school's network
can carry that is a judgement for someone who knows the room. The reason
string had to change too, because "the smartest in the list" stops being
true once something heavier is in the list but out of reach of auto.

The same-model guard fired on Qwen3.5-0.8B-Text-ONNX. Rather than widen
it on a hunch, the two configs were compared: eight text-architecture
fields identical and a byte-identical chat template (sha256 273d8e0e…),
so -Text is a format suffix like -ONNX and is now stripped as one.

transformers floor moves to 4.57, the first stable release that can read
model_type qwen3_5.

The browser side does not work until the host adds both to its own list —
PYHIROBA_MODELS_REQUEST.md asks for that, and records what was checked and
ruled out: Qwen3 8B ships only in ONNX Runtime GenAI layout, Qwen3.5 2B
and 4B exist only as vision models, and LLM-jp has no ONNX above 150M
anywhere on the Hub, so it cannot be broadened at all.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Nmuk8vkLHike1JrLcukFwJ