Local Quantization and Multi-Backend Deployment with AMD Quark on Strix Halo — ROCm Blogs

[giscus[bot]]

Local Quantization and Multi-Backend Deployment with AMD Quark on Strix Halo — ROCm Blogs

Quantize a 35B MoE model directly on AMD Strix Halo with AMD Quark, export to GGUF and safetensors, validate with llama.cpp and vLLM, and deploy through Lemonade.

https://rocm.blogs.amd.com/artificial-intelligence/quark-strix-halo/README.html

[hellotrendusai-creator]

Really interesting look at AMD’s Quark and Strix Halo! The focus on efficient AI development and high-performance computing makes this a fascinating read. TrendusAI is excited to follow how these technologies evolve and enable new AI workloads.

[harryjosh067-code]

The AMD Quark work on Strix Halo looks interesting, especially for developers exploring efficient AI workloads on AMD hardware. It would be useful to see more details about performance, supported models, and how the implementation compares across different configurations.