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llama.cpp adds NVFP4 scale support for Qwen2 model

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b12126, which includes an update for the Qwen2 model. This update addresses a critical issue where models converted to NVFP4 format would crash due to unapplied scales in the FFN (Feed-Forward Network) component. The fix ensures that these scales are correctly passed and applied, preventing assertion failures that occurred during model execution. AI

IMPACT Improves stability and compatibility for Qwen2 models using the NVFP4 format within the llama.cpp framework.

RANK_REASON This is a software update to an open-source project that improves model compatibility and stability, fitting the research/infrastructure category. [lever_c_demoted from research: ic=1 ai=1.0]

Read on llama.cpp — Releases →

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

llama.cpp adds NVFP4 scale support for Qwen2 model

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10 / 100
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This is a software update to an open-source project that improves model compatibility and stability, fitting the research/infrastructure category. [lever_c_demoted from research: ic=1 ai=1.0]
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infra, model release
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COVERAGE [1]

  1. llama.cpp — Releases TIER_1 English(EN) · danbev ·

    b12126: qwen2 : add nvfp4 scales to build_ffn (#31657)

    <p>This commit adds nvfp4 scales to qwen2's build_ffn call which are<br /> currently passed as NULL.</p> <p>The motivation for this is that a model converted to NVFP4 will<br /> currently crash because the scales are loaded but never applied in<br /> the FFN:</p> <div class="high…

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