llama.cpp/scripts/server-llm.sh
Georgi Gerganov f0e209324a
scripts : add server-llm.sh (#3868)
* scripts : add deploy-server.sh

* scripts : rename to server-llm.sh

* scripts : working curl pipe
2023-11-01 11:29:07 +02:00

392 lines
10 KiB
Bash

#!/bin/bash
#
# Helper script for deploying llama.cpp server with a single Bash command
#
# - Works on Linux and macOS
# - Supports: CPU, CUDA, Metal, OpenCL
# - Can run all GGUF models from HuggingFace
# - Can serve requests in parallel
# - Always builds latest llama.cpp from GitHub
#
# Limitations
#
# - Chat templates are poorly supported (base models recommended)
# - Might be unstable!
#
# Usage:
# ./server-llm.sh [--port] [--repo] [--wtype] [--backend] [--gpu-id] [--n-parallel] [--n-kv] [--verbose]
#
# --port: port number, default is 8888
# --repo: path to a repo containing GGUF model files
# --wtype: weights type (f16, q8_0, q4_0, q4_1), default is user-input
# --backend: cpu, cuda, metal, opencl, depends on the OS
# --gpu-id: gpu id, default is 0
# --n-parallel: number of parallel requests, default is 8
# --n-kv: KV cache size, default is 4096
# --verbose: verbose output
#
# Example:
#
# bash -c "$(curl -s https://ggml.ai/server-llm.sh)"
#
set -e
# required utils: curl, git, make
if ! command -v curl &> /dev/null; then
printf "[-] curl not found\n"
exit 1
fi
if ! command -v git &> /dev/null; then
printf "[-] git not found\n"
exit 1
fi
if ! command -v make &> /dev/null; then
printf "[-] make not found\n"
exit 1
fi
# parse arguments
port=8888
repo=""
wtype=""
backend="cpu"
# if macOS, use metal backend by default
if [[ "$OSTYPE" == "darwin"* ]]; then
backend="metal"
elif command -v nvcc &> /dev/null; then
backend="cuda"
fi
gpu_id=0
n_parallel=8
n_kv=4096
verbose=0
function print_usage {
printf "Usage:\n"
printf " ./server-llm.sh [--port] [--repo] [--wtype] [--backend] [--gpu-id] [--n-parallel] [--n-kv] [--verbose]\n\n"
printf " --port: port number, default is 8888\n"
printf " --repo: path to a repo containing GGUF model files\n"
printf " --wtype: weights type (f16, q8_0, q4_0, q4_1), default is user-input\n"
printf " --backend: cpu, cuda, metal, opencl, depends on the OS\n"
printf " --gpu-id: gpu id, default is 0\n"
printf " --n-parallel: number of parallel requests, default is 8\n"
printf " --n-kv: KV cache size, default is 4096\n"
printf " --verbose: verbose output\n\n"
printf "Example:\n\n"
printf ' bash -c "$(curl -s https://ggml.ai/server-llm.sh)"\n\n'
}
while [[ $# -gt 0 ]]; do
key="$1"
case $key in
--port)
port="$2"
shift
shift
;;
--repo)
repo="$2"
shift
shift
;;
--wtype)
wtype="$2"
shift
shift
;;
--backend)
backend="$2"
shift
shift
;;
--gpu-id)
gpu_id="$2"
shift
shift
;;
--n-parallel)
n_parallel="$2"
shift
shift
;;
--n-kv)
n_kv="$2"
shift
shift
;;
--verbose)
verbose=1
shift
;;
--help)
print_usage
exit 0
;;
*)
echo "Unknown argument: $key"
print_usage
exit 1
;;
esac
done
# available weights types
wtypes=("F16" "Q8_0" "Q4_0" "Q4_1" "Q5_0" "Q5_1" "Q6_K" "Q5_K_M" "Q5_K_S" "Q4_K_M" "Q4_K_S" "Q3_K_L" "Q3_K_M" "Q3_K_S" "Q2_K")
wfiles=()
for wt in "${wtypes[@]}"; do
wfiles+=("")
done
# sample repos
repos=(
"https://huggingface.co/TheBloke/Llama-2-7B-GGUF"
"https://huggingface.co/TheBloke/Llama-2-13B-GGUF"
"https://huggingface.co/TheBloke/Llama-2-70B-GGUF"
"https://huggingface.co/TheBloke/CodeLlama-7B-GGUF"
"https://huggingface.co/TheBloke/CodeLlama-13B-GGUF"
"https://huggingface.co/TheBloke/CodeLlama-34B-GGUF"
"https://huggingface.co/TheBloke/Mistral-7B-v0.1-GGUF"
"https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF"
"https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GGUF"
"https://huggingface.co/TheBloke/CausalLM-7B-GGUF"
)
printf "\n"
printf "[I] This is a helper script for deploying llama.cpp's server on this machine.\n\n"
printf " Based on the options that follow, the script might download a model file\n"
printf " from the internet, which can be a few GBs in size. The script will also\n"
printf " build the latest llama.cpp source code from GitHub, which can be unstable.\n"
printf "\n"
printf " Upon success, an HTTP server will be started and it will serve the selected\n"
printf " model using llama.cpp for demonstration purposes.\n"
printf "\n"
printf " Please note:\n"
printf "\n"
printf " - All new data will be stored in the current folder\n"
printf " - The server will be listening on all network interfaces\n"
printf " - The server will run with default settings which are not always optimal\n"
printf " - Do not judge the quality of a model based on the results from this script\n"
printf " - Do not use this script to benchmark llama.cpp\n"
printf " - Do not use this script in production\n"
printf " - This script is only for demonstration purposes\n"
printf "\n"
printf " If you don't know what you are doing, please press Ctrl-C to abort now\n"
printf "\n"
printf " Press Enter to continue ...\n\n"
read
if [[ -z "$repo" ]]; then
printf "[+] No repo provided from the command line\n"
printf " Please select a number from the list below or enter an URL:\n\n"
is=0
for r in "${repos[@]}"; do
printf " %2d) %s\n" $is "$r"
is=$((is+1))
done
# ask for repo until index of sample repo is provided or an URL
while [[ -z "$repo" ]]; do
printf "\n Or choose one from: https://huggingface.co/models?sort=trending&search=gguf\n\n"
read -p "[+] Select repo: " repo
# check if the input is a number
if [[ "$repo" =~ ^[0-9]+$ ]]; then
if [[ "$repo" -ge 0 && "$repo" -lt ${#repos[@]} ]]; then
repo="${repos[$repo]}"
else
printf "[-] Invalid repo index: %s\n" "$repo"
repo=""
fi
elif [[ "$repo" =~ ^https?:// ]]; then
repo="$repo"
else
printf "[-] Invalid repo URL: %s\n" "$repo"
repo=""
fi
done
fi
# remove suffix
repo=$(echo "$repo" | sed -E 's/\/tree\/main$//g')
printf "[+] Checking for GGUF model files in %s\n" "$repo"
# find GGUF files in the source
# TODO: better logic
model_tree="${repo%/}/tree/main"
model_files=$(curl -s "$model_tree" | grep -i "\\.gguf</span>" | sed -E 's/.*<span class="truncate group-hover:underline">(.*)<\/span><\/a>/\1/g')
# list all files in the provided git repo
printf "[+] Model files:\n\n"
for file in $model_files; do
# determine iw by grepping the filename with wtypes
iw=-1
is=0
for wt in "${wtypes[@]}"; do
# uppercase
ufile=$(echo "$file" | tr '[:lower:]' '[:upper:]')
if [[ "$ufile" =~ "$wt" ]]; then
iw=$is
break
fi
is=$((is+1))
done
if [[ $iw -eq -1 ]]; then
continue
fi
wfiles[$iw]="$file"
have=" "
if [[ -f "$file" ]]; then
have="*"
fi
printf " %2d) %s %s\n" $iw "$have" "$file"
done
# ask for weights type until provided and available
while [[ -z "$wtype" ]]; do
printf "\n"
read -p "[+] Select weight type: " wtype
wfile="${wfiles[$wtype]}"
if [[ -z "$wfile" ]]; then
printf "[-] Invalid weight type: %s\n" "$wtype"
wtype=""
fi
done
printf "[+] Selected weight type: %s (%s)\n" "$wtype" "$wfile"
url="${repo%/}/resolve/main/$wfile"
# check file if the model has been downloaded before
chk="$wfile.chk"
# check if we should download the file
# - if $wfile does not exist
# - if $wfile exists but $chk does not exist
# - if $wfile exists and $chk exists but $wfile is newer than $chk
# TODO: better logic using git lfs info
do_download=0
if [[ ! -f "$wfile" ]]; then
do_download=1
elif [[ ! -f "$chk" ]]; then
do_download=1
elif [[ "$wfile" -nt "$chk" ]]; then
do_download=1
fi
if [[ $do_download -eq 1 ]]; then
printf "[+] Downloading weights from %s\n" "$url"
# download the weights file
curl -o "$wfile" -# -L "$url"
# create a check file if successful
if [[ $? -eq 0 ]]; then
printf "[+] Creating check file %s\n" "$chk"
touch "$chk"
fi
else
printf "[+] Using cached weights %s\n" "$wfile"
fi
# get latest llama.cpp and build
printf "[+] Downloading latest llama.cpp\n"
llama_cpp_dir="__llama_cpp_port_${port}__"
if [[ -d "$llama_cpp_dir" && ! -f "$llama_cpp_dir/__ggml_script__" ]]; then
# if the dir exists and there isn't a file "__ggml_script__" in it, abort
printf "[-] Directory %s already exists\n" "$llama_cpp_dir"
printf "[-] Please remove it and try again\n"
exit 1
elif [[ -d "$llama_cpp_dir" ]]; then
printf "[+] Directory %s already exists\n" "$llama_cpp_dir"
printf "[+] Using cached llama.cpp\n"
cd "$llama_cpp_dir"
git reset --hard
git fetch
git checkout origin/master
cd ..
else
printf "[+] Cloning llama.cpp\n"
git clone https://github.com/ggerganov/llama.cpp "$llama_cpp_dir"
fi
# mark that that the directory is made by this script
touch "$llama_cpp_dir/__ggml_script__"
if [[ $verbose -eq 1 ]]; then
set -x
fi
# build
cd "$llama_cpp_dir"
make clean
log="--silent"
if [[ $verbose -eq 1 ]]; then
log=""
fi
if [[ "$backend" == "cuda" ]]; then
printf "[+] Building with CUDA backend\n"
LLAMA_CUBLAS=1 make -j server $log
elif [[ "$backend" == "cpu" ]]; then
printf "[+] Building with CPU backend\n"
make -j server $log
elif [[ "$backend" == "metal" ]]; then
printf "[+] Building with Metal backend\n"
make -j server $log
elif [[ "$backend" == "opencl" ]]; then
printf "[+] Building with OpenCL backend\n"
LLAMA_CLBLAST=1 make -j server $log
else
printf "[-] Unknown backend: %s\n" "$backend"
exit 1
fi
# run the server
printf "[+] Running server\n"
args=""
if [[ "$backend" == "cuda" ]]; then
export CUDA_VISIBLE_DEVICES=$gpu_id
args="-ngl 999"
elif [[ "$backend" == "cpu" ]]; then
args="-ngl 0"
elif [[ "$backend" == "metal" ]]; then
args="-ngl 999"
elif [[ "$backend" == "opencl" ]]; then
args="-ngl 999"
else
printf "[-] Unknown backend: %s\n" "$backend"
exit 1
fi
if [[ $verbose -eq 1 ]]; then
args="$args --verbose"
fi
./server -m "../$wfile" --host 0.0.0.0 --port "$port" -c $n_kv -np "$n_parallel" $args
exit 0