UPSTREAM PR #18042: model: support GLM4V vision encoder

[loci-dev]

Mirrored from ggml-org/llama.cpp#18042

On first look, it seems to be an easy model to support as the HF implementation is pretty much the same as Qwen2.5VL

However, there are some very subtle differences that even some LLMs will miss (I tried both Grok and Gemini 3 and they both missed the 2 first points):

1. For text model, M-RoPE ordering is non-Neox. And because ggml's M-RoPE uses the Neox ordering by default, I had to add a new flag to disable this --> need to be supported on backends, I'm only including CPU and Metal in this PR. This is by far the most complicated change to support this model
2. Learned position embedding interpolation uses bicubic instead of bilinear
3. Added a norm layer right after patch bias
4. Use RMS norm

The embedding output was tested against HF transformers and confirmed to be matched

Testing

I'm using the ./tools/mtmd/test-1.jpeg already included in this repo:

llama-mtmd-cli -m ..... -mm ..... --image ./tools/mtmd/test-1.jpeg -p "extract all texts from this image" --temp 0 -n 1024

Output:

"All the News That's Fit to Print"

Then the newspaper title: "The New York Times"

"LATE CITY EDITION"

"VOL. CXLVIII, No. 40,711"

"NEW YORK, MONDAY, JULY 21, 1969"

"10 CENTS"

Then the main headline: "MEN WALK ON MOON"

Next: "ASTRONAUTS LAND ON PLAIN; COLLECT ROCKS, PLANT FLAG"

Then a section: "Voice From Moon: 'Eagle Has Landed'"

Then the article by John Noble Wilford: "A Powdery Surface Is Closely Explored"

Now, let's transcribe each part carefully, including smaller text.

First, the top left box:

"All the News  
That's Fit to Print"

Then the newspaper header:

"The New York Times"

"LATE CITY EDITION"

"VOL. CXLVIII, No. 40,711"

"NEW YORK, MONDAY, JULY 21, 1969"

"10 CENTS"