REDDIT · REDDIT// 3h agoOPENSOURCE RELEASE

llama.cpp fork lands DeepSeek V4 Flash

A community fork adds experimental llama.cpp support for DeepSeek V4 Flash and shows the model running locally as a huge GGUF with usable token speeds on high-memory hardware. The post argues that a fully local Cline + VS Code workflow can tackle a real C++ inference codebase and still produce a working build.

// ANALYSIS

This is less a polished product launch than a proof that local AI-assisted engineering can now move beyond toy repos into serious infrastructure work.

–The reported setup is constrained by memory and kernel support, not by whether the model can be made to run at all.
–The Reddit post cites 128GB RAM as the practical floor for inference and says the author saw 17 tokens/sec on an M3 Max.
–The author says the build succeeded but CUDA performance still needs improvement, which is the real engineering frontier here.
–The bigger signal is process: a 100% local editor/model stack can now make credible changes in a complex C++ inference project.
–This matters most for open-source ML infrastructure, where rapid model turnover makes “can we make it compile and run?” a recurring question.

// TAGS

llama-cppdeepseek-v4-flashggufinferenceopen-sourceself-hostedllm

DISCOVERED

3h ago

2026-04-27

PUBLISHED

5h ago

2026-04-27

RELEVANCE

9/ 10

AUTHOR

LegacyRemaster