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b11941

模型:新增 LiquidAI/LFM3-Audio-2B 和 LiquidAI/LFM3-Omni-2B(#31257)* 模型:新增 LiquidAI/LFM3-Audio-2B 和 LiquidAI/LFM3-Omni-2B 共同作者:Xuan Son Nguyen 协助者:Claude Opus 5.5 * 转换:读取已发布的 LFM3-Audio 的 config.json 一个了解 lfm3_audio 的 transformer 会将配置重写为另一种格式(不再包含 lfm/encoder 键)。协助者:Claude Opus 5.5 * mtmd:为 LFM3-Audio 的 depthformer 禁用 flash attention 协助者:Claude Opus 5.5 * tts:为 LFM3-Audio 和 LFM3-Omni 添加语音选项 模型卡片提供女性和男性两种声音;对于 llama-tts 使用 --tts-voice,而对于服务器则使用 /tts 的“voice”。协助者:Claude Opus 5.5 * 整理模板处理逻辑 * 转换:通过 model_type 检测 LFM3-Audio 和 LFM3-Omni 协助者:Claude Opus 5.5 * 移动被禁用的 token -

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model : add LiquidAI/LFM3-Audio-2B and LiquidAI/LFM3-Omni-2B (#31257)

* model : add LiquidAI/LFM3-Audio-2B and LiquidAI/LFM3-Omni-2B

Co-authored-by: Xuan Son Nguyen

Assisted-by: Claude Opus 5.5

* convert : read the LFM3-Audio config.json as released

A transformers that knows lfm3_audio rewrites the config into another layout (no lfm/encoder keys).

Assisted-by: Claude Opus 5.5

* mtmd : disable flash attention for the LFM3-Audio depthformer

Assisted-by: Claude Opus 5.5

* tts : add a voice option for LFM3-Audio and LFM3-Omni

The model card offers a female and a male voice; --tts-voice for llama-tts, "voice" for the server /tts.

Assisted-by: Claude Opus 5.5

* clean up template handling

* convert : detect LFM3-Audio and LFM3-Omni by model_type

Assisted-by: Claude Opus 5.5

* move banned tokens --> logits bias --> mtmd_helper

* leave mtmd-cli unchanged

* no more template_asr_system

* left over

* llama : keep the LFM3-Audio encoder convs and codec unquantized

Assisted-by: Claude Opus 5.5

* common, mtmd : shorten comments

Assisted-by: Claude Opus 5.5

---------

Co-authored-by: Xuan Son Nguyen

**Website:**

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**macOS/iOS:**

- [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-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/b11941/llama-b11941-bin-macos-x64.tar.gz)

- [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-xcframework.zip)

**Linux:**

- [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-ubuntu-x64.tar.gz)

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- [Ubuntu x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-ubuntu-cuda-12.8-x64.tar.gz) - [CUDA 12.8 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11941/cudart-llama-b11941-bin-ubuntu-cuda-12.8-x64.tar.gz)

- [Ubuntu x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-ubuntu-cuda-13.4-x64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11941/cudart-llama-b11941-bin-ubuntu-cuda-13.4-x64.tar.gz)

- [Ubuntu arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-ubuntu-cuda-13.4-arm64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11941/cudart-llama-b11941-bin-ubuntu-cuda-13.4-arm64.tar.gz)

- [Ubuntu x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-ubuntu-rocm-10.0-x64.tar.gz)

- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-ubuntu-openvino-2026.4.1-x64.tar.gz)

- [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-ubuntu-sycl-fp32-x64.tar.gz)

- [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-ubuntu-sycl-fp16-x64.tar.gz)

- [Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-linux-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/linux.md)

**Android:**

- [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-android-arm64.tar.gz)

- [Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-android-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/README.md)

**Windows:**

- [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-cpu-x64.zip)

- [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-cpu-arm64.zip)

- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-opencl-adreno-arm64.zip)

- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11941/cudart-llama-bin-win-cuda-12.4-x64.zip)

- [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-cuda-13.4-x64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11941/cudart-llama-bin-win-cuda-13.4-x64.zip)

- [Windows arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11941/cudart-llama-bin-win-cuda-13.4-arm64.zip)

- [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-vulkan-x64.zip)

- [Windows arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-vulkan-arm64.zip)

- [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-openvino-2026.4.1-x64.zip)

- [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-sycl-x64.zip)

- [Windows x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-bin-win-rocm-10.0-x64.zip)

**openEuler:**

- [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23705)

- openEuler x86 (310p)

- openEuler x86 (910b, ACL Graph)

- openEuler aarch64 (310p)

- openEuler aarch64 (910b, ACL Graph)

**UI:**

- [UI](https://github.com/ggml-org/llama.cpp/releases/download/b11941/llama-b11941-ui.tar.gz)

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