DeepSeek V4 Flash Inference on Strix Halo: ds4, Quantizations, Distributed Inference and Benchmarks

An overview of running DeepSeek V4 Flash locally on AMD Strix Halo devices like the Framework Desktop. This covers the use of the ds4 (DwarfStar 4) dedicated inference engine and the community-driven ROCm port that enables HIP support for AMD hardware. A breakdown of the challenges involved in fitting large weights into unified memory, addressing the accuracy issues of 2-bit quantization by utilizing imatrix (importance matrix) calibration. The configuration covers single-node setups using Q2 and hybrid 4-bit layers within a 128GB memory limit, as well as multi-node cluster configurations to run the full 4-bit quantization across two Strix Halo systems. Timestamps: 00:00 - Introduction 01:37 - Initial Concerns About DS4 03:31 - The DS4 Project 04:31 - The ROCm/Strix Halo Port 08:09 - The Available Quantizations 10:34 - DS4 Benchmarks 14:00 - SWE Bench Mini 18:08 - DS4 Setup & Inference 25:24 - DS4 Multi-Node 30:48 - Conclusion Links & Resources: Strix Halo Toolboxes & Guides: https://strix-halo-toolboxes.com ds4 Project Repository: https://github.com/antirez/ds4 Buy Me a Coffee: https://buymeacoffee.com/dcapitella