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* finetune: rename feed-forward tensors (w1/w2/w3) This commit renames the feed-forward tensors w1, w2 and w3 to ffn_gate, ffn_down and ffn_up respectively. The motivation for this change is to make it easier to understand the purpose of the tensors. This also seems to be inline with the names used in the llama_layer struct in llama.cpp. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> * train-text-from-scratch: rename ff tensors This commit renames the feed-forward tensors w1, w2 and w3 to ffn_gate, ffn_down and ffn_up respectively. The motivation for this change is to make it easier to understand the purpose of the tensors. This also seems to be inline with the names used in the llama_layer struct in llama.cpp Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> --------- Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> |
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| .. | ||
| CMakeLists.txt | ||
| convert-train-checkpoint-to-gguf.py | ||
| README.md | ||
| train-text-from-scratch.cpp | ||
train-text-from-scratch
Basic usage instructions:
# get training data
wget https://raw.githubusercontent.com/brunoklein99/deep-learning-notes/master/shakespeare.txt
# train
./bin/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/main -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.