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llama.cpp/examples/train-text-from-scratch
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Didzis Gosko 527b6fba1d
llama : make model stateless and context stateful (llama_state) (#1797) 
* llama : make model stateless and context stateful

* llama : minor cleanup

* llama : update internal API declaration

* Apply suggestions from code review

fix style

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Missing model memory release

* Fix style

* Add deprecated warning for public API function llama_init_from_file

* Update public API use cases: move away from deprecated llama_init_from_file

* Deprecate public API function llama_apply_lora_from_file

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-06-24 11:47:58 +03:00
..
CMakeLists.txt train : improved training-from-scratch example (#1652) 2023-06-13 22:04:40 +03:00
README.md train : get raw text instead of page with html (#1905) 2023-06-17 09:51:54 +03:00
train-text-from-scratch.cpp llama : make model stateless and context stateful (llama_state) (#1797) 2023-06-24 11:47:58 +03:00

README.md

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.bin \
        --ctx 64 --embd 256 --head 8 --layer 16 \
        --checkpoint-in  chk-shakespeare-256x16.bin \
        --checkpoint-out chk-shakespeare-256x16.bin \
        --model-out ggml-shakespeare-256x16-f32.bin \
        --train-data "shakespeare.txt" \
        -t 6 -b 16 -n 32 --seed 1 --adam-iter 16 \
        --print-details-interval 0 --predict 16 --use-flash

# predict
./bin/main -m ggml-shakespeare-256x16-f32.bin