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ci: fix flaky ADD_ADD f16 by using the fused ADD tolerance (#29904) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/52418791 macOS/iOS: macOS Apple Silicon

chat : honor json_schema in Ling 3.0 parser (#29813) chat : honor json_schema in Ling 3.0 parser Ling 3.0 only built a grammar for tool calls and did not handle inputs.json_schema, so response_format

common : add common_is_tty() helper and fix deprecated warnings on Windows (#29860) Signed-off-by: Adrien Gallouët angt@huggingface.co Website: https://llama.app Attestations: https://github.com/ggml-

server : fix laya abort by limiting n_batch to n_ubatch (#29903) server : fix laya abort by limiting n_batch to n_ubatch Fixes #29902 Assisted-by: Claude fix(review) : rm tests, embeddings cond Websit

vendor : update cpp-httplib to 0.59.0 (#29886) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/52476117 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple S

mtmd : fix deprecated strdup warning on Windows (#29863) Signed-off-by: Adrien Gallouët angt@huggingface.co Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/

Qwen4Exp: add MTP (#29761) Qwen4Exp: add MTP remove has_state member, check via ctx_bufs being non-empty consistent naming + less verbose comments cont : clean-up recurrent memory cont : clean-up comm

CUDA: Handle compute type for NVFP4 on cublass path (#29173) CUDA: Handle compute type for NVFP4 on cublass path Signed-off-by: ynankani ynankani@nvidia.com Use BF16 compute type for quantized models

llama : fix invalid assert in recurrent memory (#29799) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/52014664 macOS/iOS: macOS Apple Silicon (arm64) macO

webgpu: add bfloat16 support for MUL_MAT/MUL_MAT_ID/GET_ROWS- #29358 (#29358) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/52019658 macOS/iOS: macOS Appl

metal : release temporary private transfer buffers (#29777) metal : release temporary private transfer buffers Assisted-by: OpenAI Codex metal : fix order and formatting Co-authored-by: Niklas Wenzel

cuda : route sm70 to the Turing MMVQ nwarps table (#29753) cuda : route sm70 to the Turing MMVQ nwarps table Volta (sm_70) has no MMVQ parameter table of its own and falls through to GENERIC, which la

server: return HTTP 400 for invalid embedding requests (#29060) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/52037093 macOS/iOS: macOS Apple Silicon (arm

hexagon: shared strided DMA copy for CPY and CONCAT, any-dim CONCAT via DMA (#29685) hexagon: shared strided DMA copy for CPY and CONCAT, any-dim CONCAT via DMA hex-cpy: various fixes on top of the co

llama : clamp kpool re-pool bound to existing pools (#29805) tests : simplify function signature llama : clamp kpool re-pool bound to existing pools The n_tokens/kpool + n_seqs_unq bound on n_new_g ov

common,rpc : fix cache dir creation through symlinks on buggy libstdc++ (#29816) See https://gcc.gnu.org/bugzilla/show_bug.cgi?id=101510 Close #29759 Signed-off-by: Adrien Gallouët angt@huggingface.co

CUDA: fix 2 broken Volta FA cases (#29803) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/52093363 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silic

hexagon: add q2_k and q3_k quant type support (#29717) hexagon: add q2_k and q3_k quant type support hex-qk: consistent allocation of src1_row_size Co-authored-by: Max Krasnyansky maxk@qti.qualcomm.co

qwen4exp: fix tests (#29819) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/52169567 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, Kle

hexagon: install rebuilt HTP skels (#29828) hexagon: install rebuilt HTP skels Assisted-by: OpenCode hexagon: fix HTP skel catalog dependencies Assisted-by: OpenCode Website: https://llama.app Attesta

vulkan: add logging to pipeline compile issues (#29794) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/52203370 macOS/iOS: macOS Apple Silicon (arm64) macO

ggml : add alloc_buffer_n to buffer type interface (#23671) ggml : add alloc_buffer_n to buffer type interface Add alloc_buffer_n method to ggml_backend_buffer_type_i interface, with a public API ggml

qwen4exp : optimize mask constructions (#29824) qwen4exp : optimize mask constructions cont : apply the same change for GLM5-next Website: https://llama.app Attestations: https://github.com/ggml-org/l

vulkan: disable large matmul tile on Samsung GPUs with 32KB shared memory (#28531) Assisted-by: Claude Opus Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/

llama, server: add /v1/systemone API (models: laya, julia-1, lev, openjev, kev) (#29818) init conversion convert: ok model loaded add server code improve conversion script support shared prompt prefix

arXiv:2508.08882v5 Announce Type: replace Abstract: Recent advances in multi-agent systems highlight the potential of specialized small agents that collaborate via division of labor. Existing tool-int

llama : preserve original batch order for speculative decoding layer inputs (#29019) llama: preserve original batch order for layer inputs Assisted-by: Codex tests: cover layer-input order across KV l

args: fix cli download mmproj arg (#28977) tests: add tests for cli download arg parsing args: fix cli download mmproj arg Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cp

Hexagon: optimize ALLREDUCE with support for safe scatter mode (#29757) hex-allreduce: add support for safe scatter mode hex-allreduce: pare down excessive comments hex-allreduce: re-write to remove r

cuda: guard the iq4_nl dequantize row kernel against short rows (#29683) dequantize_block_iq4_nl writes QK_K values per block, but a row can be shorter than that (an IQ4_NL row is only guaranteed to b

ggml-opencl : replace alloca() with std::vector (#29765) Signed-off-by: Adrien Gallouët angt@huggingface.co Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/

webgpu: fix SSM_SCAN binding aliasing (#29750) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51685637 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple S

model : re-enable -sm tensor for qwen4exp (#28569) #27941 disabled -sm tensor for qwen4exp because test-llama-archs asserted on the Meta device once the fixture carried a PLE layer: GGML_ASSERT(ggml_b

metal : use bf16 math for mxfp4 mul-mat (#29770) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51752863 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple

llama-bench : fix verbosity filter to show GGML_LOG_ERROR (#28229) bench : fix verbosity filter to show GGML_LOG_ERROR (#28107) bench: remove dead variables Website: https://llama.app Attestations: ht

vocab : honor BOS/EOS settings for PLaMo-2 and PLaMo-3 (#29734) vocab : honor BOS/EOS settings for PLaMo-2 and PLaMo-3 The original tokenizer configs for PLaMo-2 and PLaMo-3 have add_bos_token: true a

opencl: mark vec subgroup bcast as supproted for Adreno E17 compiler (#29698) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51780568 macOS/iOS: macOS Appl

common : add LLM-jp-4.1 Harmony dialect handler (#29681) LLM-jp-4.1 uses the GPT-OSS format, but its tokenizer decodes a space after every special token and parallel tool calls are separated by <|end|

BLAS : Document AOCL-BLAS build and label the device AOCL-BLAS (#29640) BLAS : Document AOCL-BLAS build and label the device AOCL-BLAS AOCL-Blas : Add an AOCL-BLAS Quick Start and drop the fixed versi

hex-workqueue: fix race condition in seqn getting out of sync with idx_read/write (#29785) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51906249 macOS/iO

HIP: avoid treating CDNA as dgx spark for gqa_ratio 20 in fattn_mma dqk 576 (#29572) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51919562 macOS/iOS: mac

llama-mmap : avoid a second full-size copy of each tensor with direct-io (#29749) Assisted-by: Claude Co-authored-by: Pranesh Gonegandla pgonegandla@nvidia.com Website: https://llama.app Attestations:

jinja : skip copying loop scope unless a loop filter needs it (#29776) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51940374 macOS/iOS: macOS Apple Silic

meta: clear inactive AllReduce shards with FILL, not SCALE (#29793) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51949614 macOS/iOS: macOS Apple Silicon

mtmd: cap max_image to ubatch for non_causal models (#29773) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51957111 macOS/iOS: macOS Apple Silicon (arm64)

arXiv:2609.39600v1 Announce Type: cross Abstract: Autoregressive (AR) grounding models serialize spatial predictions, introducing sequential latency and imposing a causal order on output tokens. We vi