coderai serves a LoRA on a vision model and cannot train one. Recorded as a
plan because the gap turned up while configuring qwen38 as a vision model and
is worth writing down while the reasons are fresh: what exists (loras.py is a
DIFFUSION trainer; text_loras.py only serves and packages), what to build (SFT
from messages-with-media, video as frames plus a token budget, QLoRA against a
4-bit base, the vision tower frozen because vLLM cannot serve an adapter on
it), and which questions need a measurement rather than an opinion.

No code. Nothing here is scoped to one language, document type, card or
deployment size.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KnfkxBpcZ1v6ypRFFyhrVM