include training script but do not install

bin/from-scratch-training.sh

@@ -0,0 +1,55 @@
+#!/bin/bash
+
+MODEL_NAME=shakespeare
+TRAIN_DATA=$HOME/scratch/shakespeare.txt
+VOCAB=$HOME/.ai/models/ggml-vocab.bin
+
+LLAMA_CTX=256
+LLAMA_EMBD=256
+LLAMA_HEAD=32
+LLAMA_LAYER=24
+LLAMA_BATCH=16
+
+MODEL_OUT=$HOME/.ai/models/llama/ggml-${MODEL_NAME}-${LLAMA_CTX}-${LLAMA_EMBD}x${LLAMA_HEAD}x${LLAMA_LAYER}-f32.bin
+CHECKPOINT=$HOME/.ai/training/chk-${MODEL_NAME}-${LLAMA_CTX}-${LLAMA_EMBD}x${LLAMA_HEAD}x${LLAMA_LAYER}.bin
+
+function train() {
+    time ~/Work/llama.cpp/build/bin/train-text-from-scratch \
+        --train-data "$TRAIN_DATA" \
+        --model-out "$MODEL_OUT" \
+        --checkpoint-in "$CHECKPOINT" \
+        --checkpoint-out "$CHECKPOINT" \
+        --vocab-model "$VOCAB" \
+        --ctx $LLAMA_CTX \
+        --embd $LLAMA_EMBD \
+        --head $LLAMA_HEAD \
+        --layer $LLAMA_LAYER \
+        --batch $LLAMA_BATCH \
+        --examples 128 \
+        --rotmax 128 \
+        --seed 1 \
+        --adam-iter 16 \
+        --print-details-interval 0 \
+        --predict 16 \
+        --use-flash \
+        --threads 6
+}
+
+function print_params() {
+    echo "TRAIN_DATA: $TRAIN_DATA"
+    echo "CTX: $LLAMA_CTX"
+    echo "EMBD: $LLAMA_EMBD"
+    echo "HEAD: $LLAMA_HEAD"
+    echo "LAYER: $LLAMA_LAYER"
+    echo "BATCH: $LLAMA_BATCH"
+    echo
+    echo "$HOME/Work/llama.cpp/build/bin/main --temp 0.05 --top_k 70 --top_p 0.79 -m $MODEL_OUT --repeat-penalty 1.3"
+}
+
+function main() {
+    print_params
+    train
+    print_params
+}
+
+main