LLM-Inference/llama.cpp
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llama: add default load-mode auto, which avoids mmap on iGPUs (#26081)

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* llama: add new default load-mode auto which picks mmap unless a non-Metal iGPU is used

* Update ggml/src/ggml-hexagon/ggml-hexagon.cpp

Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>

* set mmap_support to false on OpenCL backend

* fix order of load modes

* use -1 for auto

* resolve load mode auto earlier to correctly pick gpu host or cpu memory

* add load mode auto to llama-bench

* bump virtgpu api version, regenerate docs

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Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com>
Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Ruben Ortlam
2026-08-11 09:20:46 +03:00
committed by GitHub
co-authored by Piotr Wilkin Max Krasnyansky Georgi Gerganov
parent b3df57286c
commit 153d324bcf
33 changed files with 75 additions and 29 deletions
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include/llama.h
+6 -5
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@@ -203,11 +203,12 @@ extern "C" {
};
enum llama_load_mode {
LLAMA_LOAD_MODE_NONE = 0, // no special loading mode
LLAMA_LOAD_MODE_MMAP = 1, // memory map the model
LLAMA_LOAD_MODE_MLOCK = 2, // force system to keep model in RAM rather than swapping or compressing
LLAMA_LOAD_MODE_MMAP_MLOCK = 3, // mmap + force system to keep model in RAM rather than swapping or compressing
LLAMA_LOAD_MODE_DIRECT_IO = 4, // use direct I/O if available
LLAMA_LOAD_MODE_AUTO = -1, // auto-detect based on device capabilities
LLAMA_LOAD_MODE_NONE = 0, // no special loading mode
LLAMA_LOAD_MODE_MMAP = 1, // memory map the model
LLAMA_LOAD_MODE_MLOCK = 2, // force system to keep model in RAM rather than swapping or compressing
LLAMA_LOAD_MODE_MMAP_MLOCK = 3, // mmap + force system to keep model in RAM rather than swapping or compressing
LLAMA_LOAD_MODE_DIRECT_IO = 4, // use direct I/O if available
};
LLAMA_API const char * llama_load_mode_name(enum llama_load_mode load_mode);