b12406

<details open> 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> </details> **Website:** - <https://llama.app> **Attestations:** - <https://github.com/ggml-org/llama.cpp/attestations/67755639> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12406/llama-b12406-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12406/llama-b12406-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12406/llama-b12406-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12406/llama-b12406-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12406/llama-b12406-bin-ubuntu-arm64.tar.gz) - [Ubuntu 24.04 s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12406/llama-b12406-bin-ubuntu-s390x.tar.gz) - [Ubuntu 26.04 s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12406/llama-b12406-bin-ubuntu-26.04-s390x.tar.gz) - 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