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llama.cpp b11477 optimizes tensor flag sharing across models

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b11477, which introduces optimizations for handling tensor flags across different models. This update centralizes the detection logic for trunk-only and MTP-only models into a helper function within llama_model_base. Additionally, several models including DeepSeek4, nemotron-h, Qwen35, qwen35moe, qwen3next, and qwen4exp now support trunk-only files, enhancing compatibility and efficiency. AI

IMPACT Improves efficiency and compatibility for running various LLMs locally.

RANK_REASON Software release for an open-source project focused on infrastructure for running LLMs.

Read on llama.cpp — Releases →

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

llama.cpp b11477 optimizes tensor flag sharing across models

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COVERAGE [1]

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

    b11477: llama: share the nextn tensor flags between models (#30097)

    <ul> <li>llama: share the nextn tensor flags between models</li> </ul> <p>Follow-up of the TODO in glm5-next: move the trunk-only and MTP-only<br /> detection that each model copied into a nextn_flags helper of<br /> llama_model_base. It probes the first trunk layer and the first…

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