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Add OpenBMB's 1.3B Chinese/English document parser to the gallery as
three llama.cpp entries: the recommended Q8_0 build, a smaller Q4_K_M
build for constrained hosts, and an optional DSpark build that pairs the
Q8_0 target with the official speculative draft.
All entries install the required F16 4x vision projector, default to an
8,192-token single-slot context, and keep thinking disabled so
transcriptions land in the response content. Q8_0 is the declaring entry;
the other two are selectable variants.
Tested text, table, and mixed Chinese/English page OCR through LocalAI
on an RTX 4090; the DSpark build reached about 0.96 draft acceptance. The
model's projector type is new in llama.cpp, so the entries need a backend
built from the current master pin; the latest release backend predates it.
Assisted-by: claude code:opus5.5
Signed-off-by: Caldalis <zyk_computer@163.com>
(cherry picked from commit 91ff3f06cc)