Model Releases

b10985

rpc : hash-cache only weights (#28789) rpc : hash-cache only weights ggml_backend_rpc_buffer_set_tensor and ggml_backend_rpc_set_tensor_async hashed every transfer above HASH_THRESHOLD and let rpc-ser

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rpc : hash-cache only weights (#28789) rpc : hash-cache only weights ggml_backend_rpc_buffer_set_tensor and ggml_backend_rpc_set_tensor_async hashed every transfer above HASH_THRESHOLD and let rpc-server -c serve it from its file cache. The cache is meant for weights, but the activations ggml_backend_sched copies between backends took the same path: with a two-node split of Qwen3.8-Flash-Next every prefill ubatch above 10 MB was hashed, written to the worker's cache directory (1.4 TB after a day) and later served from there. Use the hash path only for tensors in buffers marked GGML_BACKEND_BUFFER_USAGE_WEIGHTS. Co-Authored-By: Claude Opus 5 noreply@anthropic.com rpc : save a cache entry only for the tensor that missed the hash check With the client hashing weights only, the server still wrote every SET_TENSOR above HASH_THRESHOLD to the cache directory, so the compute data the scheduler sends kept filling the disk. Remember the hash of the last SET_TENSOR_HASH that missed and save only the SET_TENSOR that follows it with that hash - the weight the client is re-sending. rpc : signal the cache decision in the SET_TENSOR payload Replace the server-side pending_cache state with a cache_flag byte in the SET_TENSOR message: the client sets it when SET_TENSOR_HASH reported a miss, the server saves a cache entry only when it is set. Bump RPC_PROTO_MAJOR_VERSION since the wire format changes. Co-authored-by: Patrick Hoffmann patrickhoffmann@MacBook-Pro-14-HOP.local Co-authored-by: Claude Opus 5 noreply@anthropic.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47642250 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 s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (CUDA 12) - CUDA 12.8 libraries Ubuntu x64 (CUDA 13) - CUDA 13.3 libraries Ubuntu arm64 (CUDA 13) - CUDA 13.3 libraries Ubuntu x64 (ROCm 10.0) Ubuntu x64 (OpenVINO) Ubuntu x64 (SYCL FP32) Ubuntu x64 (SYCL FP16) Android: Android arm64 (CPU) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows arm64 (OpenCL Adreno) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.4 DLLs Windows arm64 (CUDA 13) - CUDA 13.4 DLLs Windows x64 (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

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Source: llama.cpp Releases | 2026-09-15

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