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Daniel Bevenius 930f907d3e export-lora : use LLAMA_FILE_MAGIC_GGLA (#4894 )

This commit replaces the magic number used in export-lora.cpp with
the one defined in llama.h, which is indirectly included via common.h.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

2024-01-12 19:54:53 +02:00

CMakeLists.txt

train : finetune LORA (#2632 )

2023-09-28 21:40:11 +03:00

export-lora.cpp

export-lora : use LLAMA_FILE_MAGIC_GGLA (#4894 )

2024-01-12 19:54:53 +02:00

README.md

train : finetune LORA (#2632 )

2023-09-28 21:40:11 +03:00

README.md

export-lora

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

usage: export-lora [options]

options:
  -h, --help                         show this help message and exit
  -m FNAME, --model-base FNAME       model path from which to load base model (default '')
  -o FNAME, --model-out FNAME        path to save exported model (default '')
  -l FNAME, --lora FNAME             apply LoRA adapter
  -s FNAME S, --lora-scaled FNAME S  apply LoRA adapter with user defined scaling S
  -t N, --threads N                  number of threads to use during computation (default: 4)

For example:

./bin/export-lora \
    -m open-llama-3b-v2-q8_0.gguf \
    -o open-llama-3b-v2-q8_0-english2tokipona-chat.gguf \
    -l lora-open-llama-3b-v2-q8_0-english2tokipona-chat-LATEST.bin

Multiple LORA adapters can be applied by passing multiple -l FN or -s FN S command line parameters.