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        Releases: ggml-org/llama.cpp

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            Releases · ggml-org/llama.cpp

            b9592

                  10 Jun 20:54
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                      vendor : update LibreSSL to 4.3.2 (#24397)

                      Signed-off-by: Adrien Gallouët [email protected]

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                              * cudart-llama-bin-win-cuda-12.4-x64.zip
                                  sha256:8c79a9b226de4b3cacfd1f83d24f962d0773be79f1e7b75c6af4ded7e32ae1d6
                                373 MB 2026-06-10T20:54:42Z
                              * cudart-llama-bin-win-cuda-13.3-x64.zip
                                  sha256:1462a050eb4c684921ba51dcc4cc488a036674c3e73e9945ee705b854808d03e
                                373 MB 2026-06-10T20:54:53Z
                              * llama-b9592-bin-android-arm64.tar.gz
                                  sha256:017b6947c9b11cf01653126b3fe9c1cb0568279d8b6f1b25108bd983462156d0
                                71.7 MB 2026-06-10T20:55:04Z
                              * llama-b9592-bin-macos-arm64.tar.gz
                                  sha256:e395d9f746bc1b04e3e019295e76a5158de3ecc837a2f08b7fe6e76ec5b42729
                                10.1 MB 2026-06-10T20:55:07Z
                              * llama-b9592-bin-macos-x64.tar.gz
                                  sha256:6b5ba1d89560f51d68d5845ca7a76b5093b1f9b4908882229135e9c186262121
                                10.3 MB 2026-06-10T20:55:08Z
                              * llama-b9592-bin-ubuntu-arm64.tar.gz
                                  sha256:345ca9cac08f237496adcf476b72c1e28053a0636971513d57de513a67df3754
                                11.8 MB 2026-06-10T20:55:09Z
                              * llama-b9592-bin-ubuntu-openvino-2026.0-x64.tar.gz
                                  sha256:43bad788409cbc8fc86066f3a14ce734ae4125f389792518b03f15cdf0ff69b1
                                13.1 MB 2026-06-10T20:55:10Z
                              * llama-b9592-bin-ubuntu-rocm-7.2-x64.tar.gz
                                  sha256:0862a222bae4c692aee3f7ad15dca7d5adbb16faa97127c7225d5d9cdb9a664b
                                125 MB 2026-06-10T20:55:11Z
                              * llama-b9592-bin-ubuntu-s390x.tar.gz
                                  sha256:943d3d392aad80af19e5c00dd5d50582b6a220099b7e0a4cb5bd49c87b711e89
                                13.4 MB 2026-06-10T20:55:16Z
                              * llama-b9592-bin-ubuntu-vulkan-arm64.tar.gz
                                  sha256:3f5417666d1f1fe24edfccf24ed86a0fc9188262aef4c406825cce09107b51b5
                                30.2 MB 2026-06-10T20:55:17Z
                              * Source code (zip)
                                2026-06-10T20:28:03Z
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                                2026-06-10T20:28:03Z
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            b9591

                  10 Jun 20:20
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                          b9591

                      Remove padding and multiple D2D copies for MTP (#24086)

                        * Make ggml_gated_delta_net take only the initial recurrent state (D, 1, n_seqs) and passes the snapshot count K as an op parameter instead of inferring it from state->ne[1].

                      Remove the padding hack and copy all emitted snapshots into the recurrent cache with a single strided ggml_cpy

                        * Make GDN changes in all backends. Address review comments.

                        * Fix CI build errors

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            b9590

                  10 Jun 14:49
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                          b9590

                      chat: fix LFM2/LFM2.5 ignoring json_schema (#24377)

                      The LFM2 specialized template handler only built a grammar for tool-calling,
                      silently ignoring json_schema from response_format.

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            b9589

                  10 Jun 14:13
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                      CUDA: Fix ssm_scan_f32 data-races (#24360)

                        * Add missing syncthreads before resuing cub_temp_storage

                      __syncthreads() is required before being allowed to resue TempStorage
                      smem:
                      https://nvidia.github.io/cccl/unstable/cub/api/classcub_1_1BlockLoad.html#_CPPv4I0EN3cub9BlockLoad4LoadEv20RandomAccessIteratorRA14ItemsPerThread_1Ti

                        * Add one more missing __syncthreads

                      Could also double-buffer, but alternative is to simply ensure all
                      threads have read smem* before writing to it again in the next loop
                      iteration

                        * Remove unused smem from ssm_scan_f32

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            b9587

                  10 Jun 08:12
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                    b9587
                  d2e22ed
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                          b9587

                      speculative : fix "ngram-map-k4v" name in logging (#24253)

                      This is a non-functional change.

                      When using --spec-type ngram-map-k4v, the log messages at startup and
                      runtime say ngram-map-k. Added logic in the in the constructor of
                      common_speculative_impl_ngram_map_k to pass the correct
                      COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V when config.key_only is
                      false.

                      After this change, the log messages use the correct name.

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            b9585

                  09 Jun 18:15
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                          b9585

                      graph: Fix granite speech model inference by applying embedding scale when deepstack is not used (#24357)

                        * llama-graph : apply embedding scale when deepstack is not used

                        * nits: remove non-existant hunyuan-vl from the tests

                        * apply suggestion from @gabe-l-hart

                      Co-authored-by: Xuan Son Nguyen [email protected]

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            b9584

                  09 Jun 17:07
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                    b9584
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                          b9584

                      ci : fix windows release (#24369)

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            b9581

                  09 Jun 13:44
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                    b9581
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                          b9581

                      vulkan: reduce iq1 shared memory usage for mul_mm (#24287)

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            b9580

                  09 Jun 13:07
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                          b9580

                      vulkan: add v_dot2_f32_f16 support in matrix-matrix multiplication and Flash Attention (#24123)

                        * vulkan: add support for valve fp16 dot2 extension

                        * use macro for dot2 path choice

                        * properly check for the feature

                        * add dot_product abstraction to reduce preprocessor branching

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            b9578

                  09 Jun 12:41
                  github-actions
                    b9578
                  9682e35
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                          b9578

                      mtmd: refactor video subproc handling (#24316)

                        * mtmd: refactor video subproc handling

                        * Update tools/mtmd/mtmd-helper.cpp

                      Co-authored-by: Mikko Juola [email protected]

                      Co-authored-by: Mikko Juola [email protected]

                      macOS/iOS:

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                        * macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED
                        * macOS Intel (x64)
                        * iOS XCFramework

                      Linux:

                        * Ubuntu x64 (CPU)
                        * Ubuntu arm64 (CPU)
                        * Ubuntu s390x (CPU)
                        * Ubuntu x64 (Vulkan)
                        * Ubuntu arm64 (Vulkan)
                        * Ubuntu x64 (ROCm 7.2)
                        * Ubuntu x64 (OpenVINO)
                        * Ubuntu x64 (SYCL FP32) DISABLED

                      Android:

                        * Android arm64 (CPU)

                      Windows:

                        * Windows x64 (CPU)
                        * Windows arm64 (CPU)
                        * Windows x64 (CUDA 12) - CUDA 12.4 DLLs
                        * Windows x64 (CUDA 13) - CUDA 13.3 DLLs
                        * Windows x64 (Vulkan)
                        * Windows x64 (SYCL) DISABLED
                        * Windows x64 (HIP)

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                        * openEuler x86 (310p)
                        * openEuler x86 (910b, ACL Graph)
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