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New engine enables two 300B MoE models on single mini PCs

By PulseAugur Editorial · [1 sources] ·

A new engine called Kyojin, built on ExLlamaV3 and optimized for AMD's Strix Halo hardware, has been developed to run large Mixture-of-Experts (MoE) models. This engine allows two 300B-class MoE models, GLM-5.3-Flash and MiMo-V2.6-Flash, to each fit within a single 128 GB machine. Performance benchmarks show GLM-5.3-Flash achieving approximately 580 tokens/s for prefill and MiMo-V2.6-Flash reaching up to 44 tokens/s for decoding, with competitive quality metrics compared to official FP8 versions. AI

IMPACT Enables running large MoE models on more accessible hardware, potentially democratizing advanced AI capabilities.

RANK_REASON Release of a new engine and quantized models for local LLM deployment on specific hardware. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New engine enables two 300B MoE models on single mini PCs

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Release of a new engine and quantized models for local LLM deployment on specific hardware. [lever_c_demoted from research: ic=1 ai=1.0]
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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.
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model release, infra
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Yaniss916 ·

    Two ~300B MoE models, each on ONE 128 GB mini PC (AMD Strix Halo): GLM-5.3-Flash at ~580 tok/s prefill, MiMo-V2.6-Flash up to 44 tok/s decode. EXL3 weights + open ROCm engine

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wwocik/two_300b_moe_models_each_on_one_128_gb_mini_pc/"> <img alt="Two ~300B MoE models, each on ONE 128 GB mini PC (AMD Strix Halo): GLM-5.3-Flash at ~580 tok/s prefill, MiMo-V2.6-Flash up to 44 tok/s decode…

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