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common:在真实的 HF 代码仓库布局上固定模型解析结果(#30548)* tests:在真实的仓库列表上固定模型解析结果 通过从 HF API 原封不动地抓取的 63 个仓库列表扩展 test-model-resolution 测试,这些列表经过精心挑选,旨在覆盖主要出版商的 1237 个 GGUF 仓库中出现的所有文件命名模式,并进一步筛选为整数量化组。每个仓库都会固定其解析后的计划以及缓存列表。预期结果依据的是每个文件在其 GGUF 头部中实际所代表的内容,而非当前解析器的判断,因此一旦出现不匹配即视为解析错误。不匹配项会被统一收集并报告,随后测试才会失败。* tests:对于文件系统拒绝访问的路径,保持列表状态未检查 一些真实的拆分名称(例如 DevQuasar 的 Model.Q2_K.gguf-00001-of-00012.gguf 文件位于某个量化文件夹下)在实际展开后会超出 MAX_PATH 的限制

翻译暂未成功,当前显示原文。

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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