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https://github.com/ggerganov/llama.cpp.git
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scripts : add server-llm.sh (#3868)
* scripts : add deploy-server.sh * scripts : rename to server-llm.sh * scripts : working curl pipe
This commit is contained in:
Georgi Gerganov
GitHub
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ca190bca8e
commit
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391
scripts/server-llm.sh
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391
scripts/server-llm.sh
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#!/bin/bash
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#
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# Helper script for deploying llama.cpp server with a single Bash command
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#
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# - Works on Linux and macOS
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# - Supports: CPU, CUDA, Metal, OpenCL
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# - Can run all GGUF models from HuggingFace
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# - Can serve requests in parallel
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# - Always builds latest llama.cpp from GitHub
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#
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# Limitations
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#
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# - Chat templates are poorly supported (base models recommended)
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# - Might be unstable!
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#
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# Usage:
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# ./server-llm.sh [--port] [--repo] [--wtype] [--backend] [--gpu-id] [--n-parallel] [--n-kv] [--verbose]
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#
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# --port: port number, default is 8888
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# --repo: path to a repo containing GGUF model files
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# --wtype: weights type (f16, q8_0, q4_0, q4_1), default is user-input
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# --backend: cpu, cuda, metal, opencl, depends on the OS
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# --gpu-id: gpu id, default is 0
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# --n-parallel: number of parallel requests, default is 8
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# --n-kv: KV cache size, default is 4096
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# --verbose: verbose output
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#
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# Example:
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#
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# bash -c "$(curl -s https://ggml.ai/server-llm.sh)"
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#
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set -e
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# required utils: curl, git, make
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if ! command -v curl &> /dev/null; then
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printf "[-] curl not found\n"
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exit 1
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fi
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if ! command -v git &> /dev/null; then
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printf "[-] git not found\n"
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exit 1
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fi
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if ! command -v make &> /dev/null; then
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printf "[-] make not found\n"
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exit 1
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fi
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# parse arguments
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port=8888
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repo=""
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wtype=""
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backend="cpu"
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# if macOS, use metal backend by default
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if [[ "$OSTYPE" == "darwin"* ]]; then
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backend="metal"
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elif command -v nvcc &> /dev/null; then
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backend="cuda"
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fi
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gpu_id=0
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n_parallel=8
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n_kv=4096
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verbose=0
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function print_usage {
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printf "Usage:\n"
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printf " ./server-llm.sh [--port] [--repo] [--wtype] [--backend] [--gpu-id] [--n-parallel] [--n-kv] [--verbose]\n\n"
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printf " --port: port number, default is 8888\n"
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printf " --repo: path to a repo containing GGUF model files\n"
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printf " --wtype: weights type (f16, q8_0, q4_0, q4_1), default is user-input\n"
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printf " --backend: cpu, cuda, metal, opencl, depends on the OS\n"
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printf " --gpu-id: gpu id, default is 0\n"
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printf " --n-parallel: number of parallel requests, default is 8\n"
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printf " --n-kv: KV cache size, default is 4096\n"
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printf " --verbose: verbose output\n\n"
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printf "Example:\n\n"
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printf ' bash -c "$(curl -s https://ggml.ai/server-llm.sh)"\n\n'
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}
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while [[ $# -gt 0 ]]; do
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key="$1"
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case $key in
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--port)
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port="$2"
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shift
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shift
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;;
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--repo)
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repo="$2"
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shift
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shift
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;;
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--wtype)
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wtype="$2"
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shift
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shift
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;;
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--backend)
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backend="$2"
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shift
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shift
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;;
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--gpu-id)
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gpu_id="$2"
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shift
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shift
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;;
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--n-parallel)
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n_parallel="$2"
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shift
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shift
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;;
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--n-kv)
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n_kv="$2"
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shift
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shift
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;;
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--verbose)
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verbose=1
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shift
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;;
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--help)
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print_usage
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exit 0
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;;
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*)
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echo "Unknown argument: $key"
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print_usage
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exit 1
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;;
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esac
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done
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# available weights types
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wtypes=("F16" "Q8_0" "Q4_0" "Q4_1" "Q5_0" "Q5_1" "Q6_K" "Q5_K_M" "Q5_K_S" "Q4_K_M" "Q4_K_S" "Q3_K_L" "Q3_K_M" "Q3_K_S" "Q2_K")
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wfiles=()
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for wt in "${wtypes[@]}"; do
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wfiles+=("")
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done
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# sample repos
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repos=(
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"https://huggingface.co/TheBloke/Llama-2-7B-GGUF"
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"https://huggingface.co/TheBloke/Llama-2-13B-GGUF"
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"https://huggingface.co/TheBloke/Llama-2-70B-GGUF"
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"https://huggingface.co/TheBloke/CodeLlama-7B-GGUF"
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"https://huggingface.co/TheBloke/CodeLlama-13B-GGUF"
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"https://huggingface.co/TheBloke/CodeLlama-34B-GGUF"
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"https://huggingface.co/TheBloke/Mistral-7B-v0.1-GGUF"
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"https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF"
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"https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GGUF"
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"https://huggingface.co/TheBloke/CausalLM-7B-GGUF"
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)
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printf "\n"
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printf "[I] This is a helper script for deploying llama.cpp's server on this machine.\n\n"
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printf " Based on the options that follow, the script might download a model file\n"
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printf " from the internet, which can be a few GBs in size. The script will also\n"
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printf " build the latest llama.cpp source code from GitHub, which can be unstable.\n"
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printf "\n"
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printf " Upon success, an HTTP server will be started and it will serve the selected\n"
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printf " model using llama.cpp for demonstration purposes.\n"
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printf "\n"
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printf " Please note:\n"
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printf "\n"
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printf " - All new data will be stored in the current folder\n"
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printf " - The server will be listening on all network interfaces\n"
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printf " - The server will run with default settings which are not always optimal\n"
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printf " - Do not judge the quality of a model based on the results from this script\n"
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printf " - Do not use this script to benchmark llama.cpp\n"
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printf " - Do not use this script in production\n"
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printf " - This script is only for demonstration purposes\n"
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printf "\n"
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printf " If you don't know what you are doing, please press Ctrl-C to abort now\n"
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printf "\n"
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printf " Press Enter to continue ...\n\n"
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read
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if [[ -z "$repo" ]]; then
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printf "[+] No repo provided from the command line\n"
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printf " Please select a number from the list below or enter an URL:\n\n"
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is=0
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for r in "${repos[@]}"; do
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printf " %2d) %s\n" $is "$r"
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is=$((is+1))
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done
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# ask for repo until index of sample repo is provided or an URL
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while [[ -z "$repo" ]]; do
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printf "\n Or choose one from: https://huggingface.co/models?sort=trending&search=gguf\n\n"
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read -p "[+] Select repo: " repo
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# check if the input is a number
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if [[ "$repo" =~ ^[0-9]+$ ]]; then
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if [[ "$repo" -ge 0 && "$repo" -lt ${#repos[@]} ]]; then
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repo="${repos[$repo]}"
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else
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printf "[-] Invalid repo index: %s\n" "$repo"
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repo=""
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fi
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elif [[ "$repo" =~ ^https?:// ]]; then
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repo="$repo"
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else
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printf "[-] Invalid repo URL: %s\n" "$repo"
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repo=""
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fi
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done
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fi
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# remove suffix
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repo=$(echo "$repo" | sed -E 's/\/tree\/main$//g')
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printf "[+] Checking for GGUF model files in %s\n" "$repo"
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# find GGUF files in the source
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# TODO: better logic
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model_tree="${repo%/}/tree/main"
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model_files=$(curl -s "$model_tree" | grep -i "\\.gguf</span>" | sed -E 's/.*<span class="truncate group-hover:underline">(.*)<\/span><\/a>/\1/g')
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# list all files in the provided git repo
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printf "[+] Model files:\n\n"
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for file in $model_files; do
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# determine iw by grepping the filename with wtypes
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iw=-1
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is=0
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for wt in "${wtypes[@]}"; do
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# uppercase
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ufile=$(echo "$file" | tr '[:lower:]' '[:upper:]')
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if [[ "$ufile" =~ "$wt" ]]; then
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iw=$is
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break
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fi
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is=$((is+1))
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done
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if [[ $iw -eq -1 ]]; then
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continue
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fi
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wfiles[$iw]="$file"
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have=" "
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if [[ -f "$file" ]]; then
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have="*"
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fi
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printf " %2d) %s %s\n" $iw "$have" "$file"
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done
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# ask for weights type until provided and available
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while [[ -z "$wtype" ]]; do
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printf "\n"
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read -p "[+] Select weight type: " wtype
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wfile="${wfiles[$wtype]}"
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if [[ -z "$wfile" ]]; then
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printf "[-] Invalid weight type: %s\n" "$wtype"
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wtype=""
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fi
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done
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printf "[+] Selected weight type: %s (%s)\n" "$wtype" "$wfile"
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url="${repo%/}/resolve/main/$wfile"
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# check file if the model has been downloaded before
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chk="$wfile.chk"
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# check if we should download the file
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# - if $wfile does not exist
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# - if $wfile exists but $chk does not exist
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# - if $wfile exists and $chk exists but $wfile is newer than $chk
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# TODO: better logic using git lfs info
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do_download=0
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if [[ ! -f "$wfile" ]]; then
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do_download=1
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elif [[ ! -f "$chk" ]]; then
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do_download=1
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elif [[ "$wfile" -nt "$chk" ]]; then
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do_download=1
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fi
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if [[ $do_download -eq 1 ]]; then
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printf "[+] Downloading weights from %s\n" "$url"
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# download the weights file
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curl -o "$wfile" -# -L "$url"
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# create a check file if successful
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if [[ $? -eq 0 ]]; then
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printf "[+] Creating check file %s\n" "$chk"
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touch "$chk"
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fi
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else
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printf "[+] Using cached weights %s\n" "$wfile"
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fi
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# get latest llama.cpp and build
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printf "[+] Downloading latest llama.cpp\n"
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llama_cpp_dir="__llama_cpp_port_${port}__"
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if [[ -d "$llama_cpp_dir" && ! -f "$llama_cpp_dir/__ggml_script__" ]]; then
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# if the dir exists and there isn't a file "__ggml_script__" in it, abort
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printf "[-] Directory %s already exists\n" "$llama_cpp_dir"
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printf "[-] Please remove it and try again\n"
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exit 1
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elif [[ -d "$llama_cpp_dir" ]]; then
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printf "[+] Directory %s already exists\n" "$llama_cpp_dir"
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printf "[+] Using cached llama.cpp\n"
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cd "$llama_cpp_dir"
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git reset --hard
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git fetch
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git checkout origin/master
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cd ..
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else
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printf "[+] Cloning llama.cpp\n"
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git clone https://github.com/ggerganov/llama.cpp "$llama_cpp_dir"
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fi
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# mark that that the directory is made by this script
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touch "$llama_cpp_dir/__ggml_script__"
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if [[ $verbose -eq 1 ]]; then
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set -x
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fi
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# build
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cd "$llama_cpp_dir"
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make clean
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log="--silent"
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if [[ $verbose -eq 1 ]]; then
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log=""
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fi
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if [[ "$backend" == "cuda" ]]; then
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printf "[+] Building with CUDA backend\n"
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LLAMA_CUBLAS=1 make -j server $log
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elif [[ "$backend" == "cpu" ]]; then
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printf "[+] Building with CPU backend\n"
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make -j server $log
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elif [[ "$backend" == "metal" ]]; then
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printf "[+] Building with Metal backend\n"
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make -j server $log
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elif [[ "$backend" == "opencl" ]]; then
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printf "[+] Building with OpenCL backend\n"
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LLAMA_CLBLAST=1 make -j server $log
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else
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printf "[-] Unknown backend: %s\n" "$backend"
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exit 1
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fi
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# run the server
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printf "[+] Running server\n"
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args=""
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if [[ "$backend" == "cuda" ]]; then
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export CUDA_VISIBLE_DEVICES=$gpu_id
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args="-ngl 999"
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elif [[ "$backend" == "cpu" ]]; then
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args="-ngl 0"
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elif [[ "$backend" == "metal" ]]; then
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args="-ngl 999"
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elif [[ "$backend" == "opencl" ]]; then
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args="-ngl 999"
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else
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printf "[-] Unknown backend: %s\n" "$backend"
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exit 1
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fi
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if [[ $verbose -eq 1 ]]; then
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args="$args --verbose"
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fi
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./server -m "../$wfile" --host 0.0.0.0 --port "$port" -c $n_kv -np "$n_parallel" $args
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exit 0
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