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#install ngninx | |
sudo apt update | |
sudo apt install nginx | |
#lauch local server | |
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 | |
export CUDA_VISIBLE_DEVICES=0 | |
#llama.cpp swallow 8b | |
../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 | |
#launch ngrok | |
ngrok http http://localhost:8765 |