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llama.cpp b11890 release improves deepseekv4.1 integration

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b11890, which includes follow-up fixes and improvements specifically for the deepseekv4.1 model. Key changes involve optimizing the kv-cache using ggml_backend_tensor_copy for DSV4 K mirrors, moving the Engram pad id to llama_hparams, and refining the token map within the llama_model. Additionally, the release removes redundant requests and cleans up code related to the deepseek41 model class and its matmul operations. AI

IMPACT Improves the integration and performance of the deepseekv4.1 model within the llama.cpp framework.

RANK_REASON This is a software release for an open-source project that includes specific model integration improvements, not a new model release from a frontier lab. [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 b11890 release improves deepseekv4.1 integration

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32 / 100
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This is a software release for an open-source project that includes specific model integration improvements, not a new model release from a frontier lab. [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) · am17an ·

    b11890: deepseekv4.1: follow-up review fixes (#31137)

    <ul> <li> <p>kv-cache : use ggml_backend_tensor_copy to refill the DSV4 K mirrors</p> </li> <li> <p>llama : move the Engram pad id to llama_hparams and the token map to llama_model</p> </li> </ul> <p>The saver no longer needs the deepseek41 model class.</p> <ul> <li> <p>deepseek4…

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