Details
llama : Add FP8 KV-cache support (#28392)
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Add FP8 KV-cache support
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Add tests for scaled, FP8 KV-cache to test-backend-ops
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Fix get_*_scale mapping and dequnatize FP8 also before rope shift
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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
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Enable Gemma 4 Assistant with FP8 by storing and fetching scale ptrs
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Update comment wording
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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
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Increase support surface, remove seed
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make scaled kv generic
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Fix CI failings for test-kv-cache
https://github.com/ggml-org/llama.cpp/actions/runs/38718763447/job/116367842578?pr=28392
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CI: execute kv-cache-scale tests
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exclude fp8-kv tests from OpenVINO
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Fix linting errors of test_kv_cache_scales
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Disable kv-ffload=false + multi-GPU tests for FP8
See https://github.com/ggml-org/llama.cpp/actions/runs/38952722084/job/117148353699?pr=28413
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Adjust test label for test-kv-cache.cpp
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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
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Remove tmp file for test-kv-cache-scales.py on Windows as well
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Fix fp8 kv cache test by population kv_source_impl
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Exclude models that consume KV cache directly
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Remove obsolete comment
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Allow BF16 scales as well for KV cache
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Rename *_cache_scale to *_cache_s
- Move
is_type_scaled()tollama-kv-cache.cpp
Website:
Attestations:
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:
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: