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llama.cpp updates DeepSeek V4 model support with batch padding fixes

The llama.cpp project has released an update, version b11965, which includes several changes related to DeepSeek V4 and V4.1 models. The update addresses issues with compressor padding for simple batches and adds regression tests for odd-sized batches. Additionally, it refines batch splitting for DSV4 to ensure consistency in token calculations. AI

IMPACT Improves performance and compatibility for DeepSeek V4 and V4.1 models within the llama.cpp framework.

RANK_REASON This is a software update to an open-source project that improves compatibility with specific AI models, rather than a new model release or significant research.

Read on llama.cpp — Releases →

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

llama.cpp updates DeepSeek V4 model support with batch padding fixes

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Signal score
4 / 100
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Newsworthiness bucket
Tool
This is a software update to an open-source project that improves compatibility with specific AI models, rather than a new model release or significant research.
Source corroboration
Single-source cluster
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
infra, model release
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High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
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Full methodology in our editorial standards.

COVERAGE [1]

  1. llama.cpp — Releases TIER_1 English(EN) · developer0hye ·

    b11965: llama : remove simple batch splitting for DSV4 (#31300)

    <ul> <li>llama : fix DSV4 compressor padding for simple batches</li> </ul> <p>Count actual tokens per sequence when padding compressor writes. Add a graph reuse regression test for odd-sized DeepSeek V4 and V4.1 batches.</p> <p>Assisted-by: Codex</p> <ul> <li>tests : cover multip…