b12274

llama : Add FP8 KV-cache support (#28392)

• Add FP8 KV-cache support

• Add tests for scaled, FP8 KV-cache to test-backend-ops

• Fix get_*_scale mapping and dequnatize FP8 also before rope shift

• Normalizes cache-scale names independently of projection layout.

While fused KQV is currently impractival for non-shared scales, this is
an improvement for future use regardless

• Enable Gemma 4 Assistant with FP8 by storing and fetching scale ptrs

• Update comment wording

• Move E2E FP8 KV cache tests to test-llama-archs

They belong there as they are not just a test for ggml's backend ops

• Increase support surface, remove seed

• make scaled kv generic

• Fix CI failings for test-kv-cache

https://github.com/ggml-org/llama.cpp/actions/runs/38718763447/job/116367842578?pr=28392

• CI: execute kv-cache-scale tests

• exclude fp8-kv tests from OpenVINO

• Fix linting errors of test_kv_cache_scales

• Disable kv-ffload=false + multi-GPU tests for FP8

See https://github.com/ggml-org/llama.cpp/actions/runs/38952722084/job/117148353699?pr=28413

• Adjust test label for test-kv-cache.cpp

• Fix conflict-resolution mistakes in test-kv-cache.cpp

https://github.com/ggml-org/llama.cpp/actions/runs/40554674463/job/122367426461?pr=28392

• Move KV tests to test-fp8.cpp

#27512 (comment)

• Remove tmp file for test-kv-cache-scales.py on Windows as well

• Fix fp8 kv cache test by population kv_source_impl

• Exclude models that consume KV cache directly

• Remove obsolete comment

• Allow BF16 scales as well for KV cache

• Rename *_cache_scale to *_cache_s

#28392 (comment)

• Move is_type_scaled() to llama-kv-cache.cpp

Website:

• https://llama.app

Attestations:

• https://github.com/ggml-org/llama.cpp/attestations/66105424

macOS/iOS:

• macOS Apple Silicon (arm64)
• macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED
• macOS Intel (x64)
• iOS XCFramework

Linux:

• Ubuntu x64 (CPU)
• Ubuntu arm64 (CPU)
• Ubuntu 24.04 s390x (CPU)
• Ubuntu 26.04 s390x (CPU)
• Ubuntu 26.04 s390x (zDNN)
• Ubuntu x64 (Vulkan)
• Ubuntu arm64 (Vulkan)
• Ubuntu x64 (CUDA 12) - CUDA 12.8 libraries
• Ubuntu x64 (CUDA 13) - CUDA 13.5 libraries
• Ubuntu arm64 (CUDA 13) - CUDA 13.5 libraries
• Ubuntu x64 (ROCm 10.0)
• Ubuntu x64 (OpenVINO)
• Ubuntu x64 (SYCL FP32)
• Ubuntu x64 (SYCL FP16)
• Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide

Android:

• Android arm64 (CPU)
• Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide

Windows:

• Windows x64 (CPU)
• Windows arm64 (CPU)
• Windows arm64 (OpenCL Adreno)
• Windows x64 (CUDA 12) - CUDA 12.4 DLLs
• Windows x64 (CUDA 13) - CUDA 13.5 DLLs
• Windows arm64 (CUDA 13) - CUDA 13.5 DLLs
• Windows x64 (Vulkan)
• Windows arm64 (Vulkan)
• Windows x64 (OpenVINO)
• Windows x64 (SYCL)
• Windows x64 (ROCm 10.0)

openEuler:

• DISABLED
• openEuler x86 (310p)
• openEuler x86 (910b, ACL Graph)
• openEuler aarch64 (310p)
• openEuler aarch64 (910b, ACL Graph)

UI:

• UI