ggml-org/llama.cpp b11801

on GitHub

model: Add support for SenseNova U1 model (#28919)

• model : add SenseNova U1 understanding support

Add support for the dense SenseNova U1 understanding branch, including
the U1.5-8B-MoT model.

• Add HF-to-GGUF conversion for NEOChatModel, excluding MoT generation
  tensors and concatenating temporal and spatial Q/K normalization
  weights.
• Register the sensenova_u1 GGUF architecture and custom spatial RoPE
  metadata.
• Implement temporal/spatial Q/K normalization with 4-axis RoPE.
• Keep U1-specific text position handling in the model implementation.
• Add synthetic architecture coverage for sensenova_u1.

Only the dense understanding branch is supported; generation
branches are intentionally rejected during conversion.

• conversion : treat one-expert SenseNova U1 configs as dense

• mtmd : add SenseNova U1 vision support

Add conversion support for the SenseNova U1 vision encoder and implement
its CPU mtmd projector graph.

The graph applies patch embedding, GELU, adjacent-pair 2D RoPE, spatial
downsampling, and dense projection for dynamic-resolution image inputs.

• mtmd : fix SenseNova U1 vision token layout

• model : clean up SenseNova U1 RoPE metadata

Replace the hard-coded spatial RoPE key with shared GGUF and LLM_KV
definitions used by conversion, model loading, and architecture tests.

Clarify why SenseNova U1 retains its custom text-position input: U1 uses
[t, 0, 0, 0], while the generic M-RoPE input uses [t, t, t, 0].

• mtmd : simplify SenseNova U1 projector integration

Map the SenseNova U1 dense projection to the standard mm.0 weight and
bias tensors and reuse the shared projector fields in the loader and graph.

Read vision parameters from the checkpoint configuration and remove the
U1-specific tensor names and model fields while preserving its strided
projection, bias, and row-major token layout.

• mtmd : fix SenseNova U1 image positions and attention

• fix spacing

• mtmd : restore generic test input chunks

• mtmd : restore SenseNova U1 integration after upstream merge

• Update conversion/sensenova_u1.py

Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaeret@huggingface.co

• Update src/models/sensenova-u1.cpp

Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaeret@huggingface.co

• model : remove SenseNova U1 BF16 activation casts

Use standard backend precision handling for QKV, FFN, and output
projections instead of casting inputs based on the output tensor type.

Assisted-by: Codex

• Update src/models/sensenova-u1.cpp

Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaeret@huggingface.co

Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaeret@huggingface.co