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| author | Kawrakow <48489457+ikawrakow@users.noreply.github.com> | 2024-07-27 07:55:01 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-07-27 07:55:01 +0200 |
| commit | 154e0d75fccf1784fe9ff6fd76a630b66563da3d (patch) | |
| tree | 81ce6dbb5b1900c1aa78a879f0593c694cab9d27 /examples/train-text-from-scratch/README.md | |
| parent | 0684c3e9c70d49323b4fc517128cbe222cab7f96 (diff) | |
Merge mainline llama.cpp (#3)
* Merging mainline - WIP
* Merging mainline - WIP
AVX2 and CUDA appear to work.
CUDA performance seems slightly (~1-2%) lower as it is so often
the case with llama.cpp/ggml after some "improvements" have been made.
* Merging mainline - fix Metal
* Remove check
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'examples/train-text-from-scratch/README.md')
| -rw-r--r-- | examples/train-text-from-scratch/README.md | 27 |
1 files changed, 0 insertions, 27 deletions
diff --git a/examples/train-text-from-scratch/README.md b/examples/train-text-from-scratch/README.md deleted file mode 100644 index 3abae238..00000000 --- a/examples/train-text-from-scratch/README.md +++ /dev/null @@ -1,27 +0,0 @@ -# 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`. |