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* GGUF: C++ refactor, backend support, misc fixes remove ggml_tensor.backend update CODEOWNERS [no ci] remove gguf_get_data from API revise GGUF API data types
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 llama2.c repository.
usage: ./llama-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:
$ ./llama-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
Note: The vocabulary for stories260K.bin should be its own tokenizer tok512.bin found in karpathy/tinyllamas/stories260K.
Now you can use the model with a command like:
$ ./llama-cli -m stories42M.gguf.bin -p "One day, Lily met a Shoggoth" -n 500 -c 256