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Ling-3.0 (BailingMoE3) model integrated into llama.cpp for local use

By PulseAugur Editorial · [1 sources] ·

The Ling-3.0 (BailingMoE3) model has been officially integrated into the llama.cpp mainline, enabling its use in local setups. Quantized GGUF versions of the Ling-3.0 tiny (8B) and flash (127B) models are now available. Initial benchmarks on an Intel Arc B580 GPU show promising performance, with the 8B model achieving over 120 tokens/second and supporting contexts up to 128K within 12GB of VRAM. AI

IMPACT Enables broader local deployment and testing of the Ling-3.0 model.

RANK_REASON Integration of a specific model into an existing open-source inference engine.

Read on r/LocalLLaMA →

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

Ling-3.0 (BailingMoE3) model integrated into llama.cpp for local use

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0 / 100
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Tool
Integration of a specific model into an existing open-source inference engine.
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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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51 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Polaris_debi5 ·

    Ling-3.0 (BailingMoE3) lands in llama.cpp mainline - Quick benchmarks on Intel Arc B580

    <!-- SC_OFF --><div class="md"><p>Finally llama.cpp now officially supports Ling-3.0! (Starting from build <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b10472">b10472</a>+)</p> <p>If you want to run them locally, bartowski has already released the GGUF imatrix quan…

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