ggml-org/llama.cpp b12406

on GitHub

feat: add Inkling 2 support (text + vision) (#32217)

• convert : add Inkling2 text GGUF conversion

Assisted-by: Codex

• llama : implement Inkling2 text inference

Assisted-by: Codex

• tests : cover Inkling2 text support

Assisted-by: Codex

• conversion : dequantize packed Inkling2 experts in row chunks

Decode per-layer NVFP4 and MXFP8 schemes, validate companions, and use stored scale shapes with a warning for the declared MXFP8 [32,32] grid. Reorder packed w13 rows and their scale rows together. Keep normal GGUF outtype selection and 3D expert tensors.

Stream 128 rows per expert through LazyChunkedTensor. Real w13 (384x4608x4608) needs a 2.25 MiB F32 chunk instead of a 30.375 GiB expanded layer. Real-shaped sparse probes peak below 5.8 MiB of Python/NumPy chunk allocations, plus 5.2 MiB of callback metadata: budget about 16 MiB per projection including mapped pages, excluding runtime, other tensors and OS cache. Full-model chunk metadata is roughly 370 MiB.

Packed synthetic GGUF weights match the independent pinned vLLM decode bit-for-bit. CPU prefill/decode logits remain within 3.1e-6 absolute error, with 100% argmax agreement. Float fixtures, original-name conversion and CPU architecture checks pass. Real checkpoint conversion remains untested.

Assisted-by: Codex

• convert : add Inkling2 vision mmproj support

Assisted-by: Codex

• mtmd : implement Inkling2 still-image encoder

Assisted-by: Codex

• inkling2 : scope image loading

Assisted-by: Codex

• inkling2 : enable flash attention with folded bias and sinks

Assisted-by: Codex

• cuda : route per-head flash attention masks through vec

Assisted-by: Codex

• mtmd : support Inkling2 temporal frame means

Assisted-by: Codex

• style : restore shared image comment

Assisted-by: Codex

• tests : enlarge Inkling2 context fixture

Assisted-by: Codex

• inkling2 : load per-layer expert feed-forward widths

Assisted-by: Codex

• tests : add Inkling2 Metal fusion baselines

Assisted-by: Codex

• inkling2 : group and align registry entries

Assisted-by: Fable

• convert : regenerate the Inkling2 tokenizer hash with the update script

Assisted-by: Fable

• conversion : revert the print_registered_models change

Assisted-by: Fable

• conversion : sort the Inkling2 model map entries

Assisted-by: Fable

• convert : map Inkling2 vision checkpoint names in the tensor table

Assisted-by: Fable

• convert : map Inkling2 text checkpoint names in the tensor table

Assisted-by: Fable

• tests : document the Inkling2 packed expert conversion test

Assisted-by: Fable

• tests : cover Inkling2 checkpoint and transformers tensor names

Assisted-by: Fable

• llama : place Inkling2 fields and list entries by file convention

Assisted-by: Fable

• gguf-py : align Inkling2 tensor mapping comments

Assisted-by: Fable

• mtmd : place Inkling2 entries by file convention

Assisted-by: Fable

• tests : place Inkling2 cases after the existing ones

Assisted-by: Fable

• cuda : index per-head flash attention masks in the tile and mma kernels

Assisted-by: Claude
Claude-Session: https://claude.ai/code/session_01GbYSza1yxgmTz8wdr6uV8Q

• inkling2 : project the relative bias before the gather, drop arch branches

Assisted-by: Claude
Claude-Session: https://claude.ai/code/session_01GbYSza1yxgmTz8wdr6uV8Q

• convert : require Inkling2 hparams, add inkling2 pre-tokenizer

Assisted-by: Claude
Claude-Session: https://claude.ai/code/session_01GbYSza1yxgmTz8wdr6uV8Q

• mtmd : cap Inkling2 image size, drop video frame averaging

Assisted-by: Claude
Claude-Session: https://claude.ai/code/session_01GbYSza1yxgmTz8wdr6uV8Q

• inkling2 : fix CI build, Meta device assert and Windows conversion test

Assisted-by: Claude

• tests : use the default sliding window for the Inkling2 test model

Assisted-by: Claude

• simplify mtmd part

• give _v arch for vision

• remove alpha channel handling, it should be a follow up

• explicit rule about audio + vision models

• add audio support

• rm audio

• rm gguf mtmd rope base

• address review comment

• nits

• do not normalize embd from mtmd

Co-authored-by: Xuan Son Nguyen son@huggingface.co