llama.cpp

mirror of https://github.com/ggerganov/llama.cpp.git synced 2025-01-11 21:10:24 +01:00

History

llama2c : fix segfault and alloc-dealloc-mismatch (#2913 )

* llama2c : fix segfault if vocab is not found

* llama2c : fix mismatch between new[] and delete

* llama2c : fix basename on Windows

* llama2c : use a destructor to prevent memory leaks

2023-09-01 12:03:49 +03:00

CMakeLists.txt

Adding support for llama2.c models (#2559 )

2023-08-12 01:17:25 +02:00

convert-llama2c-to-ggml.cpp

llama2c : fix segfault and alloc-dealloc-mismatch (#2913 )

2023-09-01 12:03:49 +03:00

README.md

examples : update llama2.c converter to read vocab and write models in GGUF format (#2751 )

2023-08-27 17:13:31 +03:00

README.md

Convert llama2.c model to ggml

This example reads weights from project llama2.c and saves them in ggml compatible format. The vocab that is available in models/ggml-vocab.bin is used by default.

To convert the model first download the models from the llma2.c repository:

$ make -j

After successful compilation, following usage options are available:

usage: ./convert-llama2c-to-ggml [options]

options:
  -h, --help                       show this help message and exit
  --copy-vocab-from-model FNAME    path of gguf llama model or llama2.c vocabulary from which to copy vocab (default 'models/7B/ggml-model-f16.gguf')
  --llama2c-model FNAME            [REQUIRED] model path from which to load Karpathy's llama2.c model
  --llama2c-output-model FNAME     model path to save the converted llama2.c model (default ak_llama_model.bin')

An example command using a model from karpathy/tinyllamas is as follows:

$ ./convert-llama2c-to-ggml --copy-vocab-from-model llama-2-7b-chat.gguf.q2_K.bin --llama2c-model stories42M.bin --llama2c-output-model stories42M.gguf.bin

Now you can use the model with a command like:

$ ./main -m stories42M.gguf.bin -p "One day, Lily met a Shoggoth" -n 500 -c 256