Ollama v0.40.16 Stable Release Notes Memory Savings on Apple Silicon
Posted As of
Ollama has released the v0.40.16 stable tag. The official release notes state that memory usage for Qwen3.8 Flash Next on Apple silicon has decreased, and they include CUDA 13.5 support for Windows on ARM.
What happened
- Source: Ollama GitHub release (v0.40.16 stable tag)
- Official: the release states that memory usage for Qwen3.8 Flash Next on Apple silicon decreased by about 27 GiB
- /v1/responses now respects the truncation setting and no longer truncates silently at the default value
- Added CUDA 13.5 support for Windows on ARM
- Includes a llama.cpp update
- The release notes do not describe the test environment behind the 27 GiB figure
Our take
For Mac users running Qwen3.8 Flash Next locally on Apple silicon, the memory headroom may differ. However, the actual reduction may vary with model size, quantization, and context length, and this cannot be confirmed from the release notes alone. The real-world effect of CUDA 13.5 on Windows on ARM devices is also not yet known.
Sources and related posts
- Ollama GitHub 릴리스 Primary source