The llama.cpp project’s b11870 release adds support for DeepSeek-V4.1-Flash, identified in the code as “deepseek41.” The update changes how the model handles its Engram table and compressed key-value cache, among other implementation details.
The release lists builds for CPU and accelerator setups across macOS, Linux, Windows and Android. It does not give performance results or specify what hardware is needed to run the model.
Why it matters
People using llama.cpp can try running DeepSeek-V4.1-Flash through the project, but the release notes do not establish its speed or hardware requirements.
