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History

Georgi Gerganov d6a04f872d ggml : hide ggml_object, ggml_cgraph, ggml_hash_set (#9408 ) * ggml : hide ggml_object, ggml_cgraph, ggml_hash_set ggml-ci * ggml : add ggml-impl.h to backends * ggml : fix compiler warnings ggml-ci * ggml : add assert upon adding nodes		2024-09-12 14:23:49 +03:00
..
CMakeLists.txt	`build`: rename main → llama-cli, server → llama-server, llava-cli → llama-llava-cli, etc... (#7809 )	2024-06-13 00:41:52 +01:00
export-lora.cpp	ggml : hide ggml_object, ggml_cgraph, ggml_hash_set (#9408 )	2024-09-12 14:23:49 +03:00
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