llama.cpp/tools/export-lora
SamareshSingh cb8f4fa3f8
Fix locale-dependent float printing in GGUF metadata (#17331)
* Set C locale for consistent float formatting across all binaries.

* Add C locale setting to all tools binaries

Add std::setlocale(LC_NUMERIC, "C") to all 16 binaries in the tools/
directory to ensure consistent floating-point formatting.

* Apply suggestion from @JohannesGaessler

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2026-03-04 09:30:40 +01:00
..
CMakeLists.txt cmake : Do not install tools on iOS targets (#15903) 2025-09-16 09:54:44 +07:00
README.md llama : move end-user examples to tools directory (#13249) 2025-05-02 20:27:13 +02:00
export-lora.cpp Fix locale-dependent float printing in GGUF metadata (#17331) 2026-03-04 09:30:40 +01:00

README.md

export-lora

Apply LORA adapters to base model and export the resulting model.

usage: llama-export-lora [options]

options:
  -m,    --model                  model path from which to load base model (default '')
         --lora FNAME             path to LoRA adapter  (can be repeated to use multiple adapters)
         --lora-scaled FNAME S    path to LoRA adapter with user defined scaling S  (can be repeated to use multiple adapters)
  -t,    --threads N              number of threads to use during computation (default: 4)
  -o,    --output FNAME           output file (default: 'ggml-lora-merged-f16.gguf')

For example:

./bin/llama-export-lora \
    -m open-llama-3b-v2.gguf \
    -o open-llama-3b-v2-english2tokipona-chat.gguf \
    --lora lora-open-llama-3b-v2-english2tokipona-chat-LATEST.gguf

Multiple LORA adapters can be applied by passing multiple --lora FNAME or --lora-scaled FNAME S command line parameters:

./bin/llama-export-lora \
    -m your_base_model.gguf \
    -o your_merged_model.gguf \
    --lora-scaled lora_task_A.gguf 0.5 \
    --lora-scaled lora_task_B.gguf 0.5