llama.cpp/.devops/tools.sh
Bernat Vadell 2af23d3043
🚀 Dockerize llamacpp (#132)
* feat: dockerize llamacpp

* feat: split build & runtime stages

* split dockerfile into main & tools

* add quantize into tool docker image

* Update .devops/tools.sh

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

* add docker action pipeline

* change CI to publish at github docker registry

* fix name runs-on macOS-latest is macos-latest (lowercase)

* include docker versioned images

* fix github action docker

* fix docker.yml

* feat: include all-in-one command tool & update readme.md

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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-03-17 10:47:06 +01:00

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#!/bin/bash
set -e
# Read the first argument into a variable
arg1="$1"
# Shift the arguments to remove the first one
shift
# Join the remaining arguments into a single string
arg2="$@"
if [[ $arg1 == '--convert' || $arg1 == '-c' ]]; then
python3 ./convert-pth-to-ggml.py $arg2
elif [[ $arg1 == '--quantize' || $arg1 == '-q' ]]; then
./quantize $arg2
elif [[ $arg1 == '--run' || $arg1 == '-r' ]]; then
./main $arg2
elif [[ $arg1 == '--download' || $arg1 == '-d' ]]; then
python3 ./download-pth.py $arg2
elif [[ $arg1 == '--all-in-one' || $arg1 == '-a' ]]; then
echo "Downloading model..."
python3 ./download-pth.py "$1" "$2"
echo "Converting PTH to GGML..."
for i in `ls $1/$2/ggml-model-f16.bin*`; do
if [ -f "${i/f16/q4_0}" ]; then
echo "Skip model quantization, it already exists: ${i/f16/q4_0}"
else
echo "Converting PTH to GGML: $i into ${i/f16/q4_0}..."
./quantize "$i" "${i/f16/q4_0}" 2
fi
done
else
echo "Unknown command: $arg1"
echo "Available commands: "
echo " --run (-r): Run a model previously converted into ggml"
echo " ex: -m /models/7B/ggml-model-q4_0.bin -p \"Building a website can be done in 10 simple steps:\" -t 8 -n 512"
echo " --convert (-c): Convert a llama model into ggml"
echo " ex: \"/models/7B/\" 1"
echo " --quantize (-q): Optimize with quantization process ggml"
echo " ex: \"/models/7B/ggml-model-f16.bin\" \"/models/7B/ggml-model-q4_0.bin\" 2"
echo " --download (-d): Download original llama model from CDN: https://agi.gpt4.org/llama/"
echo " ex: \"/models/\" 7B"
echo " --all-in-one (-a): Execute --download, --convert & --quantize"
echo " ex: \"/models/\" 7B"
fi