51 lines
1.6 KiB
Bash
51 lines
1.6 KiB
Bash
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#!/bin/bash
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set -e
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echo "=== Deploying Qwen3.5 vllm adapter ==="
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VLLM_MODELS_DIR="/usr/local/corex/lib64/python3/dist-packages/vllm/model_executor/models"
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# 1. Copy qwen3_5.py to vllm models directory
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cp -v /root/project_6/vllm_adapter/qwen3_5.py "${VLLM_MODELS_DIR}/qwen3_5.py"
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echo "✓ qwen3_5.py installed"
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# 2. Verify registry already has the entry (it does from our earlier discovery)
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python3 -c "
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from vllm.model_executor.models.registry import _TEXT_GENERATION_MODELS
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assert 'Qwen3_5MoeForCausalLM' in _TEXT_GENERATION_MODELS, 'Registry entry missing!'
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mod, cls = _TEXT_GENERATION_MODELS['Qwen3_5MoeForCausalLM']
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print(f'✓ Registry: Qwen3_5MoeForCausalLM -> ({mod}, {cls})')
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"
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# 3. Quick import test
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python3 -c "
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from vllm.model_executor.models.qwen3_5 import Qwen3_5MoeForCausalLM
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print(f'✓ Import OK: {Qwen3_5MoeForCausalLM}')
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"
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# 4. Test config loading
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python3 -c "
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from transformers import AutoConfig
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c = AutoConfig.from_pretrained('/root/public-storage/models/Qwen/Qwen3.6-35B-A3B', trust_remote_code=True)
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print(f'✓ Config OK: {c.model_type}, experts={c.text_config.num_experts}')
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"
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echo ""
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echo "=== Deployment complete. Starting vllm server... ==="
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echo ""
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# 5. Launch vllm server
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export NCCL_FORCESYNC_DISABLE=1
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CUDA_VISIBLE_DEVICES=0,1,2,3 python3 -m vllm.entrypoints.openai.api_server \
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--model /root/public-storage/models/Qwen/Qwen3.6-35B-A3B \
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--gpu-memory-utilization 0.90 \
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--max-num-batched-tokens 4096 \
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--max-num-seqs 64 \
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--host 127.0.0.1 \
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--port 12345 \
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--trust-remote-code \
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--tensor-parallel-size 4 \
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--max-model-len 2048 \
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--dtype float16 \
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--disable-log-requests
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