[CI] Show disk usage for CI shared volume (#5821)
### What this PR does / why we need it?
1. Remove some useless but too large models from the shared volume
2. Add a new step to show current usage
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef
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Signed-off-by: wangli <wangli858794774@gmail.com>
This commit is contained in:
4
.github/workflows/labled_download_model.yaml
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4
.github/workflows/labled_download_model.yaml
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@@ -30,6 +30,10 @@ jobs:
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pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
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pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
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pip install modelscope
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pip install modelscope
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- name: Show Current Disk Usage
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run: |
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df -h /root/.cache | grep -v Filesystem | \
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awk '{print "Mount point: "$6, "Total: "$2, "Used: "$3, "Available: "$4, "Usage: "$5}'
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- name: Checkout PR branch
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- name: Checkout PR branch
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uses: actions/checkout@v6
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uses: actions/checkout@v6
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with:
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with:
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4
.github/workflows/misc/model_list.json
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4
.github/workflows/misc/model_list.json
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@@ -25,8 +25,6 @@
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"LLM-Research/Llama-3.2-11B-Vision",
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"LLM-Research/Llama-3.2-11B-Vision",
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"LLM-Research/Llama-3.2-1B-Instruct",
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"LLM-Research/Llama-3.2-1B-Instruct",
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"LLM-Research/Llama-3.2-3B-Instruct",
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"LLM-Research/Llama-3.2-3B-Instruct",
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"LLM-Research/Llama-4-Scout-17B-16E-Instruct",
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"LLM-Research/Llama-4-Scout-17B-16E-Instruct.",
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"LLM-Research/Meta-Llama-3-8B-Instruct",
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"LLM-Research/Meta-Llama-3-8B-Instruct",
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"LLM-Research/Meta-Llama-3.1-8B-Instruct",
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"LLM-Research/Meta-Llama-3.1-8B-Instruct",
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"LLM-Research/Molmo-7B-D-0924",
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"LLM-Research/Molmo-7B-D-0924",
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@@ -159,8 +157,6 @@
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"opendatalab/MinerU2.5-2509-1.2B",
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"opendatalab/MinerU2.5-2509-1.2B",
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"rhymes-ai/Aria",
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"rhymes-ai/Aria",
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"sentence-transformers/all-MiniLM-L12-v2",
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"sentence-transformers/all-MiniLM-L12-v2",
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"swift/Qwen3-235B-A22B-Instruct-2507-AWQ",
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"tclf90/Qwen3-VL-235B-A22B-Instruct-AWQ",
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"tencent/HunyuanOCR",
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"tencent/HunyuanOCR",
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"unsloth/DeepSeek-V3.1-BF16",
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"unsloth/DeepSeek-V3.1-BF16",
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"unsloth/Kimi-K2-Thinking-BF16",
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"unsloth/Kimi-K2-Thinking-BF16",
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