chatbotarena-ja / local /local_setup
a100 kh
granite
ffb63fa
########################
#install nginx
#sudo apt update
#sudo apt install nginx
#sudo vi /etc/nginx/sites-available/default #edit
#sudo systemctl start nginx
###########################
#lauch local server
cd /data/2024/1018chatbotarena/llama.cpp/download
export CUDA_VISIBLE_DEVICES=0
python -m vllm.entrypoints.openai.api_server --model cyberagent/calm3-22b-chat \
--max-model-len 4096 --port 8011 \
--gpu-memory-utilization 0.4 --trust-remote-code \
--quantization bitsandbytes --load-format bitsandbytes \
--api-key $VLLM_API_KEY
#vllm tanuki8
export CUDA_VISIBLE_DEVICES=0
python -m vllm.entrypoints.openai.api_server --model weblab-GENIAC/Tanuki-8B-dpo-v1.0 --max-model-len 4096 --port 8012 --gpu-memory-utilization 0.2 --trust-remote-code --quantization bitsandbytes --load-format bitsandbytes --api-key $VLLM_API_KEY
#llama.cpp swallow 8b
export CUDA_VISIBLE_DEVICES=0
../llama-server -m tokyotech-llm-Llama-3.1-Swallow-8B-Instruct-v0.1-Q8_0.gguf --n_gpu_layers 100 --port 8010
#llmjp13b
export CUDA_VISIBLE_DEVICES=0
../llama-server -m llm-jp-3-13b-instruct-Q8_0.gguf --n_gpu_layers 100 --port 8016
#swallow70
export CUDA_VISIBLE_DEVICES=1
python -m vllm.entrypoints.openai.api_server --model tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1 --max-model-len 4096 --port 8019 --gpu-memory-utilization 0.6 --trust-remote-code --quantization bitsandbytes --load-format bitsandbytes --api-key $VLLM_API_KEY
#gemma
#export CUDA_VISIBLE_DEVICES=1
#../llama-server -m gemma-2-2B-jpn-it-BF16.gguf --n_gpu_layers 100 --port 8020
#tanuki 8x8b
export CUDA_VISIBLE_DEVICES=1
python -m vllm.entrypoints.openai.api_server --model team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-AWQ --max-model-len 4096 --port 8020 --gpu-memory-utilization 0.35 --trust-remote-code --quantization awq --api-key $VLLM_API_KEY
###################
#server2
export CUDA_VISIBLE_DEVICES=0
python -m vllm.entrypoints.openai.api_server --model ibm-granite/granite-3.0-8b-instruct --max-model-len 4096 \
--port 8020 --gpu-memory-utilization 0.4 --trust-remote-code \
--quantization fp8 \
--api-key $VLLM_API_KEY
#########################
#launch ngrok
ngrok http http://localhost:8765