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28 lines
961 B
Markdown
28 lines
961 B
Markdown
# train-text-from-scratch
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Basic usage instructions:
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```bash
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# get training data
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wget https://raw.githubusercontent.com/brunoklein99/deep-learning-notes/master/shakespeare.txt
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# train
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./bin/train-text-from-scratch \
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--vocab-model ../models/ggml-vocab-llama.gguf \
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--ctx 64 --embd 256 --head 8 --layer 16 \
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--checkpoint-in chk-shakespeare-256x16-LATEST.gguf \
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--checkpoint-out chk-shakespeare-256x16-ITERATION.gguf \
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--model-out ggml-shakespeare-256x16-f32-ITERATION.gguf \
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--train-data "shakespeare.txt" \
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-t 6 -b 16 --seed 1 --adam-iter 256 \
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--no-checkpointing
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# predict
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./bin/llama -m ggml-shakespeare-256x16-f32.gguf
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```
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Output files will be saved every N iterations (config with `--save-every N`).
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The pattern "ITERATION" in the output filenames will be replaced with the iteration number and "LATEST" for the latest output.
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To train GGUF models just pass them to `--checkpoint-in FN`.
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