The llama.cpp project has released version b11866, which includes optimizations for Metal, specifically removing amax rescaling in the mul_mm_id kernel. This change is intended to keep MoE down-projection activations within f16 range before operations run. The release also drops two-stage reduction kernels and associated dispatch, with assisted testing noted for Qwen3.8-Flash-Next-GGUF on a MacBook with an M5 Max chip. AI
IMPACT Performance optimizations for local LLM inference on Apple hardware.
RANK_REASON This is a software update/optimization for a specific tool, not a frontier release, significant industry move, or academic research.
Read on llama.cpp — Releases →
- Apple Silicon
- GGML_PREC_F32
- KleidiAI
- llama.cpp
- M5 Max
- MacBook
- MUL_MAT_ID
- mul_mm_id
- OpenEuler
- Qwen3.8-Flash-Next-GGUF
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