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R9700 Inference Engine Recommendations Sought for Large Language Models

By PulseAugur Editorial · [1 sources] ·

The user is seeking recommendations for the most efficient inference engine to run large language models on R9700 hardware. They are specifically looking to run GLM5.3-Flash across multiple R9700 GPUs and system RAM, and are also interested in other large models like Q-FN and DSv4-vision that can fit within their hardware constraints. The user notes the proliferation of model forks and seeks guidance on the best options for GPU-bound models versus those requiring RAM spillover for Mixture-of-Experts (MoE) architectures. AI

RANK_REASON This is a user query on a forum asking for technical advice, not a news event.

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R9700 Inference Engine Recommendations Sought for Large Language Models

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COVERAGE [1]

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

    Best current R9700 inference engine?

    <!-- SC_OFF --><div class="md"><p>There are way too many forks to keep track of, so I've gotten lost. As far as I can tell, Radiance VLLM is best for models that fit in GPUs while some form of llama.cpp is probably best for MOE RAM-spill? </p> <p>My specific current goal is to ru…

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