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b11900

common: 실제 HF 리포지토리 레이아웃에서 핀 모델 해상도(#30548) * tests: 실제 리포지토리 목록에서 핀 모델 해상도 1237개의 주요 출판사 GGUF 리포지토리에서 발견된 모든 파일 이름 패턴을 포괄하도록 선정하고, 전체 퀀트 그룹으로 간추린 후 HF API로부터 원문 그대로 캡처한 63개의 리포지토리 목록을 추가하여 test-model-resolution을 확장합니다. 각 리포지토리는 해결된 계획과 캐시 목록을 고정합니다. 기대값은 현재 해상도 처리기가 선택하는 값이 아니라 각 파일의 GGUF 헤더에 따라 실제로 무엇인지에 기반하므로, 불일치는 해상도 버그로 간주됩니다. 불일치 사례는 테스트가 실패하기 전에 함께 수집되어 보고됩니다. * tests: 파일 시스템이 거부하는 경로에서는 목록 표시를 비활성화합니다 일부 실제 분할된 이름(퀀트 폴더 아래에 있는 DevQuasar의 Model.Q2_K.gguf-00001-of-00012.gguf)은 물리적으로 적용된 후 MAX_PATH 제한을 초과합니다

번역 대기 중입니다. 완료되면 자동 업데이트됩니다.

common: pin model resolution on real HF repo layouts (#30548)

* tests: pin model resolution on real repo listings

Extend test-model-resolution with 63 repo listings captured verbatim

from the HF API, chosen to cover every file naming pattern found across

1237 GGUF repos of the major publishers and pruned to whole quant groups.

Each repo pins its resolved plans and its cache listing.

The expectations follow what each file really is per its GGUF header,

not what the current resolver picks, so a mismatch is a resolution bug.

Mismatches are collected and reported together before the test fails.

* tests: leave the listing unchecked on paths the filesystem refuses

Some real split names (DevQuasar's Model.Q2_K.gguf-00001-of-00012.gguf

under a quant folder) exceed MAX_PATH once materialized in the temporary

cache on Windows, so the listing of such a repo is skipped with a note

while its plans stay checked.

* tests: pin real listings to master on GGUF convention names only

Replace the real repo table with 171 HF listings whose file names follow

the GGUF naming convention (lowercase sidecar prefix, - delimited

components, quant last), one per layout pattern found across 1174 GGUF

repos and pruned to whole quant groups. Repos outside the convention are

dropped. Each repo pins the plans and the cache listing master gives

today, so the test is a pure harness: any change in resolution shows up

here, and mismatches are reported together.

**Website:**

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**Attestations:**

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**macOS/iOS:**

- [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-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/b11900/llama-b11900-bin-macos-x64.tar.gz)

- [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-xcframework.zip)

**Linux:**

- [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-x64.tar.gz)

- [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-arm64.tar.gz)

- [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-s390x.tar.gz)

- [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-vulkan-x64.tar.gz)

- [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-vulkan-arm64.tar.gz)

- [Ubuntu x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-cuda-12.8-x64.tar.gz) - [CUDA 12.8 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11900/cudart-llama-b11900-bin-ubuntu-cuda-12.8-x64.tar.gz)

- [Ubuntu x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-cuda-13.4-x64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11900/cudart-llama-b11900-bin-ubuntu-cuda-13.4-x64.tar.gz)

- [Ubuntu arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-cuda-13.4-arm64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/b11900/cudart-llama-b11900-bin-ubuntu-cuda-13.4-arm64.tar.gz)

- [Ubuntu x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-rocm-10.0-x64.tar.gz)

- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-openvino-2026.4.1-x64.tar.gz)

- [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-sycl-fp32-x64.tar.gz)

- [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-ubuntu-sycl-fp16-x64.tar.gz)

- [Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-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/b11900/llama-b11900-bin-android-arm64.tar.gz)

- [Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-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/b11900/llama-b11900-bin-win-cpu-x64.zip)

- [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-cpu-arm64.zip)

- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-opencl-adreno-arm64.zip)

- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11900/cudart-llama-bin-win-cuda-12.4-x64.zip)

- [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-cuda-13.4-x64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11900/cudart-llama-bin-win-cuda-13.4-x64.zip)

- [Windows arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11900/cudart-llama-bin-win-cuda-13.4-arm64.zip)

- [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-vulkan-x64.zip)

- [Windows arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-vulkan-arm64.zip)

- [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-openvino-2026.4.1-x64.zip)

- [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-bin-win-sycl-x64.zip)

- [Windows x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b11900/llama-b11900-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/b11900/llama-b11900-ui.tar.gz)

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