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Diego Devesa 7cc2d2c889 Some checks failed flake8 Lint / Lint (push) Has been cancelled Details Python Type-Check / pyright type-check (push) Has been cancelled Details ggml : move AMX to the CPU backend (#10570 ) * ggml : move AMX to the CPU backend --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>		2024-11-29 21:54:58 +01:00
..
CMakeLists.txt	ggml : move AMX to the CPU backend (#10570 )	2024-11-29 21:54:58 +01:00
export-lora.cpp	common : use common_ prefix for common library functions (#9805 )	2024-10-10 22:57:42 +02:00
README.md	export-lora : throw error if lora is quantized (#9002 )	2024-08-13 11:41:14 +02:00

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