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llama.cpp adds GLM5-Next MTP optimizations and GGUF loading

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released an update, b11474, introducing significant optimizations and features for the GLM5-Next model. This update includes the implementation of a Multi Token Prediction (MTP) graph, referred to as NextN, which enhances efficiency by pruning unnecessary computations. The changes also address extraction contracts and shared-tail rollback issues, and introduce the capability to load MTP-only or trunk-only GGUF files, allowing for draft model loading. AI

IMPACT Optimizes inference for GLM5-Next models, potentially improving performance and efficiency for users of llama.cpp.

RANK_REASON This is a software release for an open-source project that implements features for a specific model, falling under research and development. [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 GLM5-Next MTP optimizations and GGUF loading

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8 / 100
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This is a software release for an open-source project that implements features for a specific model, falling under research and development. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, infra
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COVERAGE [1]

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

    b11474: feat: add GLM5Next MTP, optimize (#29928)

    <ul> <li>llama : add GLM5-Next NextN (MTP) graph</li> </ul> <p>Build the GLM5-Next multi-token-prediction head as graph_mtp: the NextN block<br /> embeds enorm(tok)+hnorm(h) through eh_proj, runs one plain DSA layer and the<br /> shared lm_head, reusing the trunk's builders throu…

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