Download models/deploy.sh from datadb/Telco-Troubleshooting-Agentic-Challenge-Track-A: direct link, hf CLI and curl.
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https://huggingface.co/datadb/Telco-Troubleshooting-Agentic-Challenge-Track-A/resolve/7e702bc1b761a04c79c184fe12afdd64a2089d50/models/deploy.sh
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hf download hf://datadb/Telco-Troubleshooting-Agentic-Challenge-Track-A@7e702bc1b761a04c79c184fe12afdd64a2089d50/models/deploy.sh
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curl -L -o deploy.sh https://huggingface.co/datadb/Telco-Troubleshooting-Agentic-Challenge-Track-A/resolve/7e702bc1b761a04c79c184fe12afdd64a2089d50/models/deploy.sh
689 Bytes
| set -euo pipefail | |
| : "${BASE_MODEL_PATH:=/models/Qwen3.5-35B-A3B}" | |
| : "${SERVED_MODEL_NAME:=Qwen3.5-35B-A3B}" | |
| : "${VLLM_HOST:=0.0.0.0}" | |
| : "${VLLM_PORT:=8001}" | |
| : "${CUDA_VISIBLE_DEVICES:=0,1,2,3,4,5,6,7}" | |
| export CUDA_VISIBLE_DEVICES | |
| python -m vllm.entrypoints.openai.api_server \ | |
| --model "${BASE_MODEL_PATH}" \ | |
| --served-model-name "${SERVED_MODEL_NAME}" \ | |
| --tensor-parallel-size 8 \ | |
| --enable-expert-parallel \ | |
| --gpu-memory-utilization 0.90 \ | |
| --host "${VLLM_HOST}" \ | |
| --port "${VLLM_PORT}" \ | |
| --max-num-seqs 64 \ | |
| --max-model-len 262144 \ | |
| --enable-chunked-prefill \ | |
| --enable-auto-tool-choice \ | |
| --tool-call-parser qwen3_coder | |