{
  "tasks": [
    {
      "id": "cookbook-b88fcb84",
      "sessionId": "cookbook-b88fcb84",
      "name": "Qwen2.5-3B-Instruct-AWQ",
      "type": "download",
      "status": "done",
      "output": "WARNING: The directory '/app/.cache/pip' or its parent directory is not owned or\n is not writable by the current user. The cache has been disabled. Check the per\nmissions and owner of that directory. If executing pip with sudo, you should use\n sudo's -H flag.\n[odysseus] HF token: NOT SET \u2014 gated/private models will be denied. Add one in O\ndysseus Cookbook -> Settings -> HuggingFace Token.\n/usr/local/lib/python3.14/site-packages/huggingface_hub/constants.py:298: Future\nWarning: The `HF_HUB_ENABLE_HF_TRANSFER` environment variable is deprecated as '\nhf_transfer' is not used anymore. Please use `HF_XET_HIGH_PERFORMANCE` instead t\no enable high performance transfer with Xet. Visit https://huggingface.co/docs/h\nuggingface_hub/package_reference/environment_variables#hfxethighperformance for\nmore details.\n  warnings.warn(\nHint: A new version of huggingface_hub (1.22.0) is available! You are using vers\nion 1.20.1.\nTo update, run: hf update\nDownloading (incomplete total...): 0.00B [00:00, ?B/s]                         W\narning: You are sending unauthenticated requests to the HF Hub. Please set a HF_\nTOKEN to enable higher rate limits and faster downloads.\nDownloading (incomplete total...):  69%|\u2588\u258d| 1.87G/2.70G [01:13<00:19, 42.8MB/s]\nFetching 10 files:  10%|\u2588\u2588\u258d                     | 1/10 [00:00<00:01,  6.45it/s]\nDownloading (incomplete total...): 0.00B [00:00, ?B/s]                         W\narning: You are sending unauthenticated requests to the HF Hub. Please set a HF_\nTOKEN to enable higher rate limits and faster downloads.\nFetching 10 files: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 10/10 [01:18<00:00,  7.86s/it]\nDownload complete: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2.70G/2.70G [01:18<00:00, 60.9MB/s]\u2713\n Downloaded\n  path: /app/.cache/huggingface/hub/models--Qwen--Qwen2.5-3B-Instruct-AWQ/snapsh\nots/3559b226e8ce77211e2c1bd7ddfb7686fec4d6dd\nDownload complete: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2.70G/2.70G [01:18<00:00, 34.3MB/s]\n\nDOWNLOAD_OK\n$",
      "ts": 1783403316366,
      "payload": {
        "repo_id": "Qwen/Qwen2.5-3B-Instruct-AWQ",
        "backend": "vllm"
      },
      "remoteHost": "",
      "sshPort": "",
      "platform": "",
      "progress": "Download complete"
    },
    {
      "id": "serve-e8ca06f1",
      "sessionId": "serve-e8ca06f1",
      "name": "pip diffusers",
      "type": "download",
      "status": "done",
      "output": ".0.2-py2.py3-none-any.whl (2.4 kB)\nDownloading nvidia_cudnn_cu13-9.20.0.48-py3-none-manylinux_2_27_x86_64.whl (366.\n2 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 366.2/366.2 MB 34.1 MB/s  0:00:10\nDownloading nvidia_cusparselt_cu13-0.8.1-py3-none-manylinux2014_x86_64.whl (170.\n1 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 170.1/170.1 MB 34.2 MB/s  0:00:04\nDownloading nvidia_nccl_cu13-2.29.7-py3-none-manylinux_2_18_x86_64.whl (206.0 MB\n)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 206.0/206.0 MB 34.2 MB/s  0:00:06\nDownloading nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_\n17_x86_64.whl (60.4 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 60.4/60.4 MB 34.5 MB/s  0:00:01\nDownloading triton-3.7.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64\n.whl (197.7 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 197.7/197.7 MB 34.0 MB/s  0:00:05\nDownloading cuda_bindings-13.3.1-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_2\n8_x86_64.whl (6.5 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 6.5/6.5 MB 35.3 MB/s  0:00:00\nDownloading nvidia_cublas-13.1.1.3-py3-none-manylinux_2_27_x86_64.whl (423.1 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 423.1/423.1 MB 34.1 MB/s  0:00:12\nDownloading nvidia_cuda_cupti-13.0.85-py3-none-manylinux_2_25_x86_64.whl (10.7 M\nB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 10.7/10.7 MB 35.3 MB/s  0:00:00\nDownloading nvidia_cuda_nvrtc-13.0.88-py3-none-manylinux2010_x86_64.manylinux_2_\n12_x86_64.whl (90.2 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 90.2/90.2 MB 34.4 MB/s  0:00:02\nDownloading nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_x86_64.manylinux_\n2_17_x86_64.whl (2.2 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.2/2.2 MB 35.6 MB/s  0:00:00\nDownloading nvidia_cufft-12.0.0.61-py3-none-manylinux2014_x86_64.manylinux_2_17_\nx86_64.whl (214.1 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 214.1/214.1 MB 34.2 MB/s  0:00:06\nDownloading nvidia_cufile-1.15.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_\nx86_64.whl (1.2 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.2/1.2 MB 35.3 MB/s  0:00:00\nDownloading nvidia_curand-10.4.0.35-py3-none-manylinux_2_27_x86_64.whl (59.5 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 59.5/59.5 MB 34.5 MB/s  0:00:01\nDownloading nvidia_cusolver-12.0.4.66-py3-none-manylinux_2_27_x86_64.whl (200.9\nMB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 200.9/200.9 MB 34.2 MB/s  0:00:05\nDownloading nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_x86_64.manylinux_2_1\n7_x86_64.whl (145.9 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 145.9/145.9 MB 34.3 MB/s  0:00:04\nDownloading nvidia_nvjitlink-13.0.88-py3-none-manylinux2010_x86_64.manylinux_2_1\n2_x86_64.whl (40.7 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 40.7/40.7 MB 34.5 MB/s  0:00:01\nDownloading nvidia_nvtx-13.0.85-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.\nwhl (148 kB)\nDownloading setuptools-81.0.0-py3-none-any.whl (1.1 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1.1/1.1 MB 35.9 MB/s  0:00:00\nDownloading cuda_pathfinder-1.5.6-py3-none-any.whl (52 kB)\nDownloading networkx-3.6.1-py3-none-any.whl (2.1 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1/2.1 MB 35.5 MB/s  0:00:00\nDownloading sympy-1.14.0-py3-none-any.whl (6.3 MB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 6.3/6.3 MB 35.3 MB/s  0:00:00\nDownloading mpmath-1.3.0-py3-none-any.whl (536 kB)\n   \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 536.2/536.2 kB 37.6 MB/s  0:00:00\nDownloading importlib_metadata-9.0.0-py3-none-any.whl (27 kB)\nDownloading zipp-4.1.0-py3-none-any.whl (10 kB)\nDownloading jinja2-3.1.6-py3-none-any.whl (134 kB)\nDownloading markupsafe-3.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86\n_64.manylinux_2_28_x86_64.whl (23 kB)\nDownloading psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.ma\nnylinux_2_28_x86_64.whl (155 kB)\nInstalling collected packages: nvidia-cusparselt-cu13, mpmath, cuda-toolkit, zip\np, triton, sympy, setuptools, safetensors, regex, psutil, nvidia-nvtx, nvidia-nv\nshmem-cu13, nvidia-nvjitlink, nvidia-nccl-cu13, nvidia-curand, nvidia-cufile, nv\nidia-cuda-runtime, nvidia-cuda-nvrtc, nvidia-cuda-cupti, networkx, MarkupSafe, c\nuda-pathfinder, nvidia-cusparse, nvidia-cufft, nvidia-cublas, jinja2, importlib_\nmetadata, cuda-bindings, nvidia-cusolver, nvidia-cudnn-cu13, torch, diffusers, a\nccelerate\nuda-pathfinder-1.5.6 cuda-toolkit-13.0.2 diffusers-0.39.0 importlib_metadata-9.0\n.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.6.1 nvidia-cublas-13.1.1.3 nvidia-cuda-c\nupti-13.0.85 nvidia-cuda-nvrtc-13.0.88 nvidia-cuda-runtime-13.0.96 nvidia-cudnn-\ncu13-9.20.0.48 nvidia-cufft-12.0.0.61 nvidia-cufile-1.15.1.6 nvidia-curand-10.4.\n0.35 nvidia-cusolver-12.0.4.66 nvidia-cusparse-12.6.3.3 nvidia-cusparselt-cu13-0\n.8.1 nvidia-nccl-cu13-2.29.7 nvidia-nvjitlink-13.0.88 nvidia-nvshmem-cu13-3.4.5\nnvidia-nvtx-13.0.85 psutil-7.2.2 regex-2026.6.28 safetensors-0.8.0 setuptools-81\n.0.0 sympy-1.14.0 torch-2.12.1 triton-3.7.1 zipp-4.1.0\n\nDOWNLOAD_OK\n\n=== Process exited with code 0 ===",
      "ts": 1783403377743,
      "payload": {
        "repo_id": "diffusers[torch]",
        "_cmd": "python3 -m pip install --user --break-system-packages \"diffusers[torch]\"",
        "remote_host": "",
        "_dep": true,
        "env_path": ""
      },
      "remoteHost": "",
      "sshPort": "",
      "platform": "",
      "progress": "Download complete",
      "exit_code": 0
    },
    {
      "id": "cookbook-6a8fa1ed",
      "sessionId": "cookbook-6a8fa1ed",
      "name": "Ministral-3-3B-Reasoning-2512-AWQ-4bit",
      "type": "download",
      "status": "done",
      "output": "[odysseus] HF token: NOT SET \u2014 gated/private models will be denied. Add one in O\ndysseus Cookbook -> Settings -> HuggingFace Token.\n/usr/local/lib/python3.14/site-packages/huggingface_hub/constants.py:298: Future\nWarning: The `HF_HUB_ENABLE_HF_TRANSFER` environment variable is deprecated as '\nhf_transfer' is not used anymore. Please use `HF_XET_HIGH_PERFORMANCE` instead t\no enable high performance transfer with Xet. Visit https://huggingface.co/docs/h\nuggingface_hub/package_reference/environment_variables#hfxethighperformance for\nmore details.\n  warnings.warn(\nDownloading (incomplete total...): 0.00B [00:00, ?B/s]                         W\narning: You are sending unauthenticated requests to the HF Hub. Please set a HF_\nTOKEN to enable higher rate limits and faster downloads.\nDownloading (incomplete total...):  89%|\u2588\u2588\u258b| 7.43G/8.34G [03:07<00:04, 193MB/s]\nFetching 15 files:  40%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c              | 6/15 [03:07<04:56, 32.96s/it]",
      "ts": 1783403622926,
      "payload": {
        "repo_id": "cyankiwi/Ministral-3-3B-Reasoning-2512-AWQ-4bit",
        "backend": "vllm"
      },
      "remoteHost": "",
      "sshPort": "",
      "platform": "",
      "progress": "Download complete"
    }
  ],
  "presets": [],
  "env": {
    "env": "none",
    "envPath": "",
    "gpus": "",
    "remoteHost": "",
    "servers": [
      {
        "host": "",
        "env": "none",
        "envPath": "",
        "modelDir": "~/.cache/huggingface/hub"
      }
    ],
    "modelPaths": [],
    "platform": "",
    "defaultServer": "",
    "remoteServerKey": ""
  },
  "serveState": null
}