DeepSeek Releases ds4.c: Optimized Local Inference Engine for V4 Flash on Apple Silicon

Summary

DeepSeek community has released ds4.c, a specialized open-source local inference engine designed specifically for the DeepSeek V4 Flash model on Apple Silicon (Metal). Unlike generic GGUF runners, ds4.c is a purpose-built Metal graph executor with DeepSeek V4 Flash-specific optimizations for loading, prompt rendering, KV state management, and API serving. The project builds on the open-source foundations of llama.cpp and GGML.

The engine leverages several key advantages of DeepSeek V4 Flash: the model uses fewer active parameters for faster inference compared to other dense models, features a 1 million token context window, and employs highly compressed KV caches that enable long-context inference on consumer hardware. With 2-bit quantization support, the model can run on MacBooks with 128GB of RAM—making frontier-class inference accessible on high-end personal machines.

ds4.c emphasizes correctness and validation, including official vector validation against logits from the official DeepSeek implementation and comprehensive long-context testing. The vision is to deliver a complete local inference stack combining an efficient inference engine with HTTP API, specially crafted GGUF files, and end-to-end testing integration. Currently Metal-only, the project takes a deliberate narrow bet on one model at a time rather than broad multi-model support, prioritizing polish and real-world viability.

• Official vector validation and comprehensive testing ensure correctness, with thinking mode producing up to 5x shorter thinking sections than competing models
• The project prioritizes end-to-end polish and validation for a single model rather than broad multi-model support