Task 38578905
| Name | wu_e0a02ffd-GIANNI_GPROTO7-0-1-RND9561_0 |
| Workunit | 31544348 |
| Created | 27 Sep 2025, 6:39:43 UTC |
| Sent | 27 Sep 2025, 6:40:18 UTC |
| Report deadline | 2 Oct 2025, 6:40:18 UTC |
| Received | 27 Sep 2025, 8:36:53 UTC |
| Server state | Over |
| Outcome | Computation error |
| Client state | Compute error |
| Exit status | 195 (0x000000C3) EXIT_CHILD_FAILED |
| Computer ID | 642323 |
| Run time | 2 min 27 sec |
| CPU time | 22 sec |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 55,497.90 GFLOPS |
| Application version | LLM: LLMs for chemistry v1.01 (cuda124L) windows_x86_64 |
| Peak working set size | 720.74 MB |
| Peak swap size | 2.43 GB |
| Peak disk usage | 5.97 GB |
Stderr output
<core_client_version>8.2.4</core_client_version>
<![CDATA[
<message>
The operating system cannot run (null).
(0xc3) - exit code 195 (0xc3)</message>
<stderr_txt>
04:34:21 (548): wrapper (7.9.26016): starting
04:34:21 (548): wrapper: running Library/usr/bin/tar.exe (xjvf input.tar.bz2)
tasks.json
run.bat
conf.yaml
main_generation-0.1.0-py3-none-any.whl
run.sh
04:34:22 (548): Library/usr/bin/tar.exe exited; CPU time 0.000000
04:34:22 (548): wrapper: running C:/Windows/system32/cmd.exe (/c call Scripts\activate.bat && Scripts\conda-unpack.exe && run.bat)
Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 2500 examples [00:00, 238085.46 examples/s]
D:\ProgramData\BOINC\slots\2\Lib\site-packages\huggingface_hub\file_download.py:144: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in D:\ProgramData\BOINC\slots\.cache\hub\models--Acellera--proto. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
warnings.warn(message)
D:\ProgramData\BOINC\slots\2\Lib\site-packages\huggingface_hub\file_download.py:144: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in D:\ProgramData\BOINC\slots\.cache\hub\models--unsloth--Qwen2.5-14B-Instruct-bnb-4bit. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
warnings.warn(message)
D:\ProgramData\BOINC\slots\2\Lib\site-packages\torch\cuda\__init__.py:235: UserWarning:
NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90.
If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(
[W927 04:35:16.000000000 socket.cpp:759] [c10d] The client socket has failed to connect to [VENGEANCE]:62165 (system error: 10049 - The requested address is not valid in its context.).
[rank0]: Traceback (most recent call last):
[rank0]: File "wheel_contents/aiengine/main_generation.py", line 87, in <module>
[rank0]: File "wheel_contents/aiengine/model.py", line 36, in __init__
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\utils.py", line 1096, in inner
[rank0]: return fn(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\entrypoints\llm.py", line 243, in __init__
[rank0]: self.llm_engine = LLMEngine.from_engine_args(
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\engine\llm_engine.py", line 521, in from_engine_args
[rank0]: return engine_cls.from_vllm_config(
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\engine\llm_engine.py", line 497, in from_vllm_config
[rank0]: return cls(
[rank0]: ^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\engine\llm_engine.py", line 281, in __init__
[rank0]: self.model_executor = executor_class(vllm_config=vllm_config, )
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\executor\executor_base.py", line 52, in __init__
[rank0]: self._init_executor()
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\executor\uniproc_executor.py", line 47, in _init_executor
[rank0]: self.collective_rpc("load_model")
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\executor\uniproc_executor.py", line 56, in collective_rpc
[rank0]: answer = run_method(self.driver_worker, method, args, kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\utils.py", line 2359, in run_method
[rank0]: return func(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\worker\worker.py", line 184, in load_model
[rank0]: self.model_runner.load_model()
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\worker\model_runner.py", line 1113, in load_model
[rank0]: self.model = get_model(vllm_config=self.vllm_config)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\model_loader\__init__.py", line 14, in get_model
[rank0]: return loader.load_model(vllm_config=vllm_config)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\model_loader\loader.py", line 1278, in load_model
[rank0]: model = _initialize_model(vllm_config=vllm_config)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\model_loader\loader.py", line 127, in _initialize_model
[rank0]: return model_class(vllm_config=vllm_config, prefix=prefix)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 431, in __init__
[rank0]: self.model = Qwen2Model(vllm_config=vllm_config,
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\compilation\decorators.py", line 151, in __init__
[rank0]: old_init(self, vllm_config=vllm_config, prefix=prefix, **kwargs)
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 300, in __init__
[rank0]: self.start_layer, self.end_layer, self.layers = make_layers(
[rank0]: ^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\models\utils.py", line 610, in make_layers
[rank0]: maybe_offload_to_cpu(layer_fn(prefix=f"{prefix}.{idx}"))
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 302, in <lambda>
[rank0]: lambda prefix: Qwen2DecoderLayer(config=config,
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 206, in __init__
[rank0]: self.self_attn = Qwen2Attention(
[rank0]: ^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 153, in __init__
[rank0]: self.rotary_emb = get_rope(
[rank0]: ^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\layers\rotary_embedding.py", line 1180, in get_rope
[rank0]: rotary_emb = RotaryEmbedding(head_size, rotary_dim, max_position, base,
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\layers\rotary_embedding.py", line 99, in __init__
[rank0]: cache = self._compute_cos_sin_cache()
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\layers\rotary_embedding.py", line 116, in _compute_cos_sin_cache
[rank0]: inv_freq = self._compute_inv_freq(self.base)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\vllm\model_executor\layers\rotary_embedding.py", line 110, in _compute_inv_freq
[rank0]: inv_freq = 1.0 / (base**(torch.arange(
[rank0]: ^^^^^^^^^^^^^
[rank0]: File "D:\ProgramData\BOINC\slots\2\Lib\site-packages\torch\utils\_device.py", line 104, in __torch_function__
[rank0]: return func(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^
[rank0]: RuntimeError: CUDA error: no kernel image is available for execution on the device
[rank0]: CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
[rank0]: For debugging consider passing CUDA_LAUNCH_BLOCKING=1
[rank0]: Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
04:35:19 (548): C:/Windows/system32/cmd.exe exited; CPU time 22.484375
04:35:19 (548): app exit status: 0x16
04:35:19 (548): called boinc_finish(195)
0 bytes in 0 Free Blocks.
256 bytes in 6 Normal Blocks.
1144 bytes in 1 CRT Blocks.
0 bytes in 0 Ignore Blocks.
0 bytes in 0 Client Blocks.
Largest number used: 0 bytes.
Total allocations: 914917 bytes.
Dumping objects ->
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Object dump complete.
</stderr_txt>
]]>
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