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llama.cpp updates KV cache handling for partial state serialization

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released an update, tagged b11644, which refines how the key-value (KV) cache handles partial state serialization. This update ensures that the cache correctly honors the PARTIAL_ONLY flag, preventing unnecessary duplication of cache data into server checkpoints. Changes were made to src/llama-kv-cache.cpp and related memory wrappers, with contributions from Georgi Gerganov. A new test case in test-llama-context verifies that partial states do not exceed full states and do not grow with token processing when SWA is not used. AI

IMPACT Improves efficiency and correctness of KV cache management in llama.cpp, potentially leading to better performance for LLM inference.

RANK_REASON This is a software update for an open-source project related to LLM inference, not a core AI model release or research.

Read on llama.cpp — Releases →

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

llama.cpp updates KV cache handling for partial state serialization

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This is a software update for an open-source project related to LLM inference, not a core AI model release or research.
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COVERAGE [1]

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

    b11644: kv-cache: honor PARTIAL_ONLY in the plain KV cache (#30514)

    <ul> <li>llama: honor PARTIAL_ONLY in the plain KV cache</li> </ul> <p>A non-SWA llama_kv_cache rolls back with seq_rm, so it holds no<br /> partial state, yet state_write ignored the flag and serialized every<br /> cell. A draft context made of a plain KV cache (MTP head, dense …

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