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\n\ncommon : add LLM-jp-4.1 Harmony dialect handler (#29681)\n\nLLM-jp-4.1 uses the GPT-OSS format, but its tokenizer decodes a space\nafter every special token and parallel tool calls are separated by\n<|end|>. The GPT-OSS handler rejects this output, so add a dedicated\nhandler, selected by the chat_format=llm-jp-harmony-v1 declaration in\nthe chat template.\n\nAssisted-by: Claude Fable 5.1\n\n
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(Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-vulkan-x64.tar.gz)\n- [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-vulkan-arm64.tar.gz)\n- [Ubuntu x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-cuda-12.8-x64.tar.gz) - [CUDA 12.8 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11320/cudart-llama-b11320-bin-ubuntu-cuda-12.8-x64.tar.gz)\n- [Ubuntu x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-cuda-13.4-x64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11320/cudart-llama-b11320-bin-ubuntu-cuda-13.4-x64.tar.gz)\n- [Ubuntu arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-cuda-13.4-arm64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11320/cudart-llama-b11320-bin-ubuntu-cuda-13.4-arm64.tar.gz)\n- [Ubuntu x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-rocm-10.0-x64.tar.gz)\n- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-openvino-2026.4-x64.tar.gz)\n- [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-sycl-fp32-x64.tar.gz)\n- [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-ubuntu-sycl-fp16-x64.tar.gz)\n- [Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-linux-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/linux.md)\n\n**Android:**\n- [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-android-arm64.tar.gz)\n- [Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-android-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/README.md)\n\n**Windows:**\n- [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-win-cpu-x64.zip)\n- [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-win-cpu-arm64.zip)\n- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-win-opencl-adreno-arm64.zip)\n- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11320/cudart-llama-bin-win-cuda-12.4-x64.zip)\n- [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-win-cuda-13.4-x64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11320/cudart-llama-bin-win-cuda-13.4-x64.zip)\n- [Windows arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11320/cudart-llama-bin-win-cuda-13.4-arm64.zip)\n- [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-win-vulkan-x64.zip)\n- [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11320/llama-b11320-bin-win-openvino-2026.4-x64.zip)\n- [Windows x64 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\n\nopencl: mark vec subgroup bcast as supproted for Adreno E17 compiler (#29698)\n\n
\n\n**Website:**\n- \n\n**Attestations:**\n- \n\n**macOS/iOS:**\n- [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-macos-arm64.tar.gz)\n- macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780)\n- [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-macos-x64.tar.gz)\n- [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-xcframework.zip)\n\n**Linux:**\n- [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-ubuntu-x64.tar.gz)\n- [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-ubuntu-arm64.tar.gz)\n- [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-ubuntu-s390x.tar.gz)\n- [Ubuntu x64 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libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11319/cudart-llama-b11319-bin-ubuntu-cuda-13.4-arm64.tar.gz)\n- [Ubuntu x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-ubuntu-rocm-10.0-x64.tar.gz)\n- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-ubuntu-openvino-2026.4-x64.tar.gz)\n- [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-ubuntu-sycl-fp32-x64.tar.gz)\n- [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-ubuntu-sycl-fp16-x64.tar.gz)\n- [Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-linux-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/linux.md)\n\n**Android:**\n- [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-android-arm64.tar.gz)\n- [Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-android-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/README.md)\n\n**Windows:**\n- [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-win-cpu-x64.zip)\n- [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-win-cpu-arm64.zip)\n- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-win-opencl-adreno-arm64.zip)\n- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11319/llama-b11319-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 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\n\nvocab : honor BOS/EOS settings for PLaMo-2 and PLaMo-3 (#29734)\n\n* vocab : honor BOS/EOS settings for PLaMo-2 and PLaMo-3\n\nThe original tokenizer configs for PLaMo-2 and PLaMo-3 have\n`add_bos_token: true` and `add_eos_token: false` , but\n_set_vocab_plamo() did not write the BOS/EOS metadata. The\nPLAMO2 tokenizer path also ignored add_bos/add_eos during\ntokenization.\n\nWrite the settings from tokenizer_config.json and honor them in\nthe PLAMO2 tokenization path. GGUFs without these keys keep the\nprevious behavior.\n\n* Update conversion/base.py\n\nCo-authored-by: Sigbjørn Skjæret \n\n---------\n\nCo-authored-by: Sigbjørn Skjæret \n\n
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(CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11318/llama-b11318-bin-android-arm64.tar.gz)\n- [Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11318/llama-b11318-bin-android-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/README.md)\n\n**Windows:**\n- [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11318/llama-b11318-bin-win-cpu-x64.zip)\n- [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11318/llama-b11318-bin-win-cpu-arm64.zip)\n- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b11318/llama-b11318-bin-win-opencl-adreno-arm64.zip)\n- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11318/llama-b11318-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 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\n\nllama-bench : fix verbosity filter to show GGML_LOG_ERROR (#28229)\n\n* bench : fix verbosity filter to show GGML_LOG_ERROR (#28107)\n\n* bench: remove dead variables\n\n
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\n\nmetal : use bf16 math for mxfp4 mul-mat (#29770)\n\n
\n\n**Website:**\n- \n\n**Attestations:**\n- \n\n**macOS/iOS:**\n- [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-macos-arm64.tar.gz)\n- macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780)\n- [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-macos-x64.tar.gz)\n- [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-xcframework.zip)\n\n**Linux:**\n- [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-x64.tar.gz)\n- [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-arm64.tar.gz)\n- [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-s390x.tar.gz)\n- [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-vulkan-x64.tar.gz)\n- [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-vulkan-arm64.tar.gz)\n- [Ubuntu x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-cuda-12.8-x64.tar.gz) - [CUDA 12.8 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11316/cudart-llama-b11316-bin-ubuntu-cuda-12.8-x64.tar.gz)\n- [Ubuntu x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-cuda-13.4-x64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11316/cudart-llama-b11316-bin-ubuntu-cuda-13.4-x64.tar.gz)\n- [Ubuntu arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-cuda-13.4-arm64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11316/cudart-llama-b11316-bin-ubuntu-cuda-13.4-arm64.tar.gz)\n- [Ubuntu x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-rocm-10.0-x64.tar.gz)\n- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-openvino-2026.4-x64.tar.gz)\n- [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-sycl-fp32-x64.tar.gz)\n- [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-ubuntu-sycl-fp16-x64.tar.gz)\n- [Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-linux-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/linux.md)\n\n**Android:**\n- [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-android-arm64.tar.gz)\n- [Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-android-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/README.md)\n\n**Windows:**\n- [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-cpu-x64.zip)\n- [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-cpu-arm64.zip)\n- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-opencl-adreno-arm64.zip)\n- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11316/cudart-llama-bin-win-cuda-12.4-x64.zip)\n- [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-cuda-13.4-x64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11316/cudart-llama-bin-win-cuda-13.4-x64.zip)\n- [Windows arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11316/cudart-llama-bin-win-cuda-13.4-arm64.zip)\n- [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-vulkan-x64.zip)\n- [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-openvino-2026.4-x64.zip)\n- [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-sycl-x64.zip)\n- [Windows x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-bin-win-rocm-10.0-x64.zip)\n\n**openEuler:**\n- [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23705)\n- openEuler x86 (310p)\n- openEuler x86 (910b, ACL Graph)\n- openEuler aarch64 (310p)\n- openEuler aarch64 (910b, ACL Graph)\n\n**UI:**\n- [UI](https://github.com/ggml-org/llama.cpp/releases/download/b11316/llama-b11316-ui.tar.gz)" } ]