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common:実際のHFリポジトリのレイアウトにおけるモデル解決を固定化(#30548) * tests:実際のリポジトリ一覧におけるモデル解決を固定化 HF APIから逐語的に取得した63件のリポジトリ一覧を用いてtest-model-resolutionを拡張し、主要な出版社が提供する1,237件のGGUFリポジトリに見られるすべてのファイル命名パターンを網羅するよう選定したうえで、全量の量子グループに絞り込んでいます。各リポジトリは、解決済みのプランとキャッシュの一覧を固定化しています。期待値は、現行の解決器が選択するものではなく、各ファイルのGGUFヘッダーに基づく実際の内容に従うため、不一致は解決に関するバグとして扱われます。不一致はテストが失敗する前にまとめて収集・報告されます。 * tests:ファイルシステムが拒否するパスについては、一覧表示を未チェックのまま残す 実際の分割名(量子フォルダー配下にあるDevQuasarのModel.Q2_K.gguf-00001-of-00012.ggufなど)は、実際に展開するとMAX_PATHを超えることがあります

翻訳待ちです。完了すると自動更新されます。

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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