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DeepSeek V4 Flash model optimized for AMD Ryzen AI MAX+ 395

A new method called ROCmFPX has been developed to fit the 284 billion parameter DeepSeek V4 Flash model into 128 GB of unified memory on an AMD Ryzen AI MAX+ 395 processor. This technique utilizes a family of block formats with varying bit-per-weight precision, allowing for efficient storage and processing. The optimized model achieved a decode rate of up to 32 tokens per second, significantly outperforming previous benchmarks for similar hardware configurations. AI

IMPACT Enables larger models to run on consumer-grade hardware, potentially increasing accessibility for AI development and deployment.

RANK_REASON The item details a new method for running a large language model on specific hardware, including performance metrics and technical details about the quantization format. [lever_c_demoted from research: ic=1 ai=1.0]

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DeepSeek V4 Flash model optimized for AMD Ryzen AI MAX+ 395

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Tool
The item details a new method for running a large language model on specific hardware, including performance metrics and technical details about the quantization format. [lever_c_demoted from resea…
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
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High
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72 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/sandropuppo ·

    DeepSeek V4 Flash, up to 32 tok/s on AMD Ryzen AI MAX+ 395

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1v9100b/deepseek_v4_flash_up_to_32_toks_on_amd_ryzen_ai/"> <img alt="DeepSeek V4 Flash, up to 32 tok/s on AMD Ryzen AI MAX+ 395" src="https://preview.redd.it/e67btq9fezfh1.png?width=640&amp;crop=smart&amp;auto…