mirror of https://github.com/ggml-org/llama.cpp.git synced 2025-06-29 20:45:04 +00:00

Files

Diego Devesa dca1d4b58a ggml : fix BLAS with unsupported types (#9775 )

* ggml : do not use BLAS with types without to_float

* ggml : return pointer from ggml_internal_get_type_traits to avoid unnecessary copies

* ggml : rename ggml_internal_get_type_traits -> ggml_get_type_traits

it's not really internal if everybody uses it

2024-10-08 14:21:43 +02:00

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 : fix BLAS with unsupported types (#9775 )

2024-10-08 14:21:43 +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