Pre-release / continuous build: this is an experimental build, not a stable release.
llama : scale moe down projection per expert token (#30861) * llama : scale moe down projection per expert token Replace the global amax rescaling for the MoE down projection with a per-expert-token factor computed by a POOL_1D max reduction along the intermediate dimension. Undo the scale on the output with the same exact power-of-two factor. Handle POOL_1D in the Meta split-state logic so a split along axis 0 becomes a replicated per-device partial result, enabling tensor parallelism. Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB) * cont : simplify comments Co-authored-by: Georgi Gerganov * llama : refactor amax src1 scaling result Return the rescaled activation and the optional scale tensor through a small struct instead of an output pointer. Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB) * cont : add TODO + clean-upWebsite: - https://llama.app
Attestations: - https://github.com/ggml-org/llama.cpp/attestations/58090560
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