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