Datasets:
| # Copyright 2026 Jayce-Ping | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy at http://www.apache.org/licenses/LICENSE-2.0 | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and limitations. | |
| # | |
| # Serve TextDART behind an OpenAI-compatible endpoint (ms-swift + vLLM). | |
| # | |
| # Usage: | |
| # bash deploy_textdart.sh [MODEL] [PORT] [GPUS] | |
| # MODEL Hugging Face repository or local path | |
| # PORT Listening port (default: 1925) | |
| # GPUS CUDA_VISIBLE_DEVICES list (default: 0,1,2,3,4,5,6,7) | |
| set -euo pipefail | |
| MODEL="${1:-SujieHu/TextDART-8B-Qwen3VL}" | |
| PORT="${2:-1925}" | |
| GPUS="${3:-0,1,2,3,4,5,6,7}" | |
| GPU_MEM_UTILIZATION="${GPU_MEM_UTILIZATION:-0.85}" | |
| MAX_NUM_SEQS="${MAX_NUM_SEQS:-256}" | |
| IFS=',' read -r -a GPU_LIST <<< "${GPUS}" | |
| DP_SIZE="${#GPU_LIST[@]}" | |
| echo "Deploying ${MODEL} on port ${PORT} | GPUs ${GPUS} | data parallel ${DP_SIZE}" | |
| exec env CUDA_VISIBLE_DEVICES="${GPUS}" \ | |
| IMAGE_MAX_TOKEN_NUM=2304 \ | |
| python -m swift.cli.deploy \ | |
| --model "${MODEL}" \ | |
| --use_hf true \ | |
| --model_type qwen3_vl \ | |
| --infer_backend vllm \ | |
| --vllm_gpu_memory_utilization "${GPU_MEM_UTILIZATION}" \ | |
| --vllm_tensor_parallel_size 1 \ | |
| --vllm_data_parallel_size "${DP_SIZE}" \ | |
| --vllm_max_num_seqs "${MAX_NUM_SEQS}" \ | |
| --vllm_max_model_len 32768 \ | |
| --vllm_limit_mm_per_prompt '{"image": 1}' \ | |
| --max_new_tokens 8192 \ | |
| --served_model_name TextDART \ | |
| --host 0.0.0.0 \ | |
| --port "${PORT}" | |