[WIP] LLm llm-cli chat mode (#8440)
* fix timezone * temp * Update linux interactive mode * modify init text for interactive mode * meet comments * update * win script * meet comments
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5 changed files with 187 additions and 4 deletions
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@ -74,6 +74,10 @@ Currently `bigdl-llm` CLI supports *LLaMA* (e.g., *vicuna*), *GPT-NeoX* (e.g., *
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#text completion
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#llama/bloom/gptneox/starcoder model family is currently supported
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llm-cli -t 16 -x gptneox -m "/path/to/output/model.bin" -p 'Once upon a time,'
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#chat mode
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#Note: The chat mode only support LLaMA (e.g., *vicuna*), GPT-NeoX (e.g., *redpajama*)for now.
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llm-chat -m "/path/to/output/model.bin" -x llama
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```
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#### Hugging Face `transformers`-style API
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@ -214,7 +214,7 @@ def setup_package():
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url='https://github.com/intel-analytics/BigDL',
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packages=get_llm_packages(),
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package_dir={"": "src"},
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package_data={"bigdl.llm": package_data[platform_name]},
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package_data={"bigdl.llm": package_data[platform_name] + ["cli/prompts/*.txt"]},
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include_package_data=True,
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entry_points={
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"console_scripts": [
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@ -228,8 +228,8 @@ def setup_package():
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'Programming Language :: Python :: 3.9',
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'Programming Language :: Python :: Implementation :: CPython'],
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scripts={
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'Linux': ['src/bigdl/llm/cli/llm-cli'],
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'Windows': ['src/bigdl/llm/cli/llm-cli.ps1'],
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'Linux': ['src/bigdl/llm/cli/llm-cli', 'src/bigdl/llm/cli/llm-chat'],
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'Windows': ['src/bigdl/llm/cli/llm-cli.ps1', 'src/bigdl/llm/cli/llm-chat.ps1'],
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}[platform_name],
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platforms=['windows']
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)
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94
python/llm/src/bigdl/llm/cli/llm-chat
Executable file
94
python/llm/src/bigdl/llm/cli/llm-chat
Executable file
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@ -0,0 +1,94 @@
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#!/bin/bash
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# Default values
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model_family=""
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threads=8
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# Number of tokens to predict (made it larger than default because we want a long interaction)
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n_predict=512
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EXTRA_ARGS=('--color')
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llm_dir="$(dirname "$(python -c "import bigdl.llm;print(bigdl.llm.__file__)")")"
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lib_dir="$llm_dir/libs"
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prompts_dir="$llm_dir/cli/prompts"
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function get_avx_flags() {
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avx="avx2"
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if command -v lscpu &>/dev/null; then
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msg=$(lscpu)
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if [[ $msg == *"avx512_vnni"* ]]; then
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avx="avx512"
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fi
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else
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echo "lscpu command not found. Please make sure it is installed."
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fi
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echo $avx
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}
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# Function to display help message
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function display_help {
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echo "usage: ./llm-chat -x MODEL_FAMILY [-h] [args]"
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echo ""
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echo "options:"
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echo " -h, --help show this help message"
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echo " -x, --model_family {llama,gptneox}"
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echo " family name of model"
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echo " -t N, --threads N number of threads to use during computation (default: 8)"
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echo " -n N, --n_predict N number of tokens to predict (default: 128, -1 = infinity)"
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echo " args parameters passed to the specified model function"
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}
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function llama {
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PROMPT_TEMPLATE="$prompts_dir/chat-with-llm.txt"
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EXTRA_ARGS+=('-i' '--file' "'$PROMPT_TEMPLATE'" '--reverse-prompt' "'USER:'" '--in-prefix' "' '")
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command="$lib_dir/main-llama_$avx_flag -t $threads -n $n_predict ${filteredArguments[*]} ${EXTRA_ARGS[*]}"
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echo "$command"
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eval "$command"
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}
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function gptneox {
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command="$lib_dir/main-gptneox_$avx_flag -t $threads -n $n_predict ${filteredArguments[*]} ${EXTRA_ARGS[*]}"
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echo "$command"
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eval "$command"
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}
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# Remove model_family/x parameter
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filteredArguments=()
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while [[ $# -gt 0 ]]; do
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case "$1" in
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-h | --help)
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display_help
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shift
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;;
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-x | --model_family | --model-family)
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model_family="$2"
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shift 2
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;;
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-t | --threads)
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threads="$2"
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shift 2
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;;
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-n | --n_predict | --n-predict)
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n_predict="$2"
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shift 2
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;;
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*)
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filteredArguments+=("'$1'")
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shift
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;;
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esac
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done
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avx_flag=$(get_avx_flags)
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echo "AVX Flags: $avx_flag"
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# Perform actions based on the model_family
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if [[ "$model_family" == "llama" ]]; then
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llama
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elif [[ "$model_family" == "gptneox" ]]; then
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# TODO
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gptneox
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else
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echo "llm-chat does not support model_family $model_family for now."
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display_help
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fi
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80
python/llm/src/bigdl/llm/cli/llm-chat.ps1
Normal file
80
python/llm/src/bigdl/llm/cli/llm-chat.ps1
Normal file
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@ -0,0 +1,80 @@
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$llm_dir = (Split-Path -Parent (python -c "import bigdl.llm;print(bigdl.llm.__file__)"))
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$lib_dir = Join-Path $llm_dir "libs"
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$prompt_dir = Join-Path $llm_dir "cli/prompts"
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$model_family = ""
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$threads = 8
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# Number of tokens to predict (made it larger than default because we want a long interaction)
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$n_predict = 512
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# Function to display help message
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function Display-Help
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{
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Write-Host "usage: ./llm-cli.ps1 -x MODEL_FAMILY [-h] [args]"
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Write-Host ""
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Write-Host "options:"
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Write-Host " -h, --help show this help message"
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Write-Host " -x, --model_family {llama,bloom,gptneox}"
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Write-Host " family name of model"
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Write-Host " -t N, --threads N number of threads to use during computation (default: 8)"
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Write-Host " -n N, --n_predict N number of tokens to predict (default: 128, -1 = infinity)"
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Write-Host " args parameters passed to the specified model function"
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}
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function llama
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{
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$prompt_file = Join-Path $prompt_dir "chat-with-llm.txt"
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$command = "$lib_dir/main-llama.exe -t $threads -n $n_predict -f $prompt_file -i --color --reverse-prompt 'USER:' --in-prefix ' ' $filteredArguments"
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Write-Host "$command"
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Invoke-Expression $command
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}
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function gptneox
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{
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# TODO
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$command = "$lib_dir/main-gptneox.exe -t $threads -n $n_predict $filteredArguments"
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Write-Host "$command"
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Invoke-Expression $command
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}
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# Remove model_family/x parameter
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$filteredArguments = @()
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for ($i = 0; $i -lt $args.Length; $i++) {
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if ($args[$i] -eq '--model_family' -or $args[$i] -eq '--model-family' -or $args[$i] -eq '-x')
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{
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if ($i + 1 -lt $args.Length -and $args[$i + 1] -notlike '-*')
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{
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$i++
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$model_family = $args[$i]
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}
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}
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elseif ($args[$i] -eq '--threads' -or $args[$i] -eq '-t')
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{
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$i++
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$threads = $args[$i]
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}
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elseif ($args[$i] -eq '--n_predict' -or $args[$i] -eq '--n-predict' -or $args[$i] -eq '-n')
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{
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$i++
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$n_predict = $args[$i]
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}
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else
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{
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$filteredArguments += "`'" + $args[$i] + "`'"
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}
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}
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# Perform actions based on the model_family
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switch ($model_family)
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{
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"llama" {
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llama
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}
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"gptneox" {
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gptneox
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}
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default {
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Write-Host "llm-chat does not support model_family $model_family for now."
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Display-Help
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}
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}
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5
python/llm/src/bigdl/llm/cli/prompts/chat-with-llm.txt
Normal file
5
python/llm/src/bigdl/llm/cli/prompts/chat-with-llm.txt
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@ -0,0 +1,5 @@
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A chat between a curious human USER and an artificial intelligence assistant ChatLLM. The assistant gives helpful, detailed, and polite answers to the human's questions.
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USER: Hello, ChatLLM.
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ChatLLM: Hello.
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USER:
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