230d46c723
* llama2.c: direct gguf output (WIP) * Simplify vector building logic * llama2.c gguf conversion: fix token types in converter * llama2.c: support copying vocab from a llama gguf model file * llama2.c: update default path for vocab model + readme * llama2.c: use defines for gguf keys * llama2.c: escape whitespaces w/ U+2581 in vocab converter the llama.cpp way * llama2.c converter: cleanups + take n_ff from config
27 lines
1.3 KiB
Markdown
27 lines
1.3 KiB
Markdown
## Convert llama2.c model to ggml
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This example reads weights from project [llama2.c](https://github.com/karpathy/llama2.c) and saves them in ggml compatible format. The vocab that is available in `models/ggml-vocab.bin` is used by default.
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To convert the model first download the models from the [llma2.c](https://github.com/karpathy/llama2.c) repository:
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`$ make -j`
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After successful compilation, following usage options are available:
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```
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usage: ./convert-llama2c-to-ggml [options]
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options:
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-h, --help show this help message and exit
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--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')
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--llama2c-model FNAME [REQUIRED] model path from which to load Karpathy's llama2.c model
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--llama2c-output-model FNAME model path to save the converted llama2.c model (default ak_llama_model.bin')
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```
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An example command using a model from [karpathy/tinyllamas](https://huggingface.co/karpathy/tinyllamas) is as follows:
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`$ ./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`
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Now you can use the model with a command like:
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`$ ./main -m stories42M.gguf.bin -p "One day, Lily met a Shoggoth" -n 500 -c 256`
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