LLM post-training
- Score
- 0.0
- Wallet spend
- $9.59 of $10
- Model cost
- $21.77
- Agent time
- 3h 23m
- Steps
- 136
- Tokens in / out
- 33.8M / 82k
- Self-checks
- 0 passed of 4 used
- Rank at $10 wallet
- 10th of 14
Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: imports 2.8.0+cu128 0.11.0 vLLM exited during startup 6:ModuleNotFoundError: No module named 'uvloop'
Score
0.0
The raw metric (accuracy on GPQA Diamond, MATH-500, LiveCodeBench v6 and MMLU-Pro) is rescaled so that Qwen3-4B-Base itself (chance on GPQA) scores 0 and Qwen3-4B-Instruct-2507, Qwen's own post-trained model scores 100, clamped to that range; each of the 4 benchmarks is rescaled on its own and the score is their mean.
After grading, a reviewer model reads the submission's files and the agent's trajectory and checks each of the task's rules. A failed check makes the score 0. Step numbers link into the trajectory.
✓pinned base startarchitecture.json declares Qwen/Qwen3-4B-Base at revision 906bfd4b. train/train_sft.py loads the local base with AutoMod
architecture.json declares Qwen/Qwen3-4B-Base at revision 906bfd4b. train/train_sft.py loads the local base with AutoModelForCausalLM, applies LoRA r64 and calls merge_and_unload before saving. evidence/train_sft.log shows the base being loaded from 3 shards with 132M trainable LoRA parameters. train/export_weights.py keeps only the tensor names in the base index. The trusted checkpoint audit passed: 398 BF16 tensors, 4,022,468,096 parameters (equal to the base), with a tied head. In trajectory#12 a byte comparison against /artifacts/qwen3-4b-base found no shape mismatches. Norms and embeddings are identical and the projection weights differ, which is what merged LoRA on the pinned base would produce. The trajectory shows no download or merge of a sibling model.
✓no public benchmark eval trainingtrain/prepare_data.py loads only train splits of open-r1/OpenR1-Math-220k, open-r1/codeforces-cots (solutions_py_deconta
train/prepare_data.py loads only train splits of open-r1/OpenR1-Math-220k, open-r1/codeforces-cots (solutions_py_decontaminated) and open-r1/Mixture-of-Thoughts (science). train/fit_window.py adds only an answer-format system-prompt template, not benchmark items. evidence/data_manifest.json states that no validation or test split was loaded and that /task/public/benchmarks was not used. The trajectory shows /task/public/benchmarks only in the task statement and a read of the grader's answer-parsing code. The public sources are declared in shipped code and manifests, but download logs beyond evidence/download_commands.txt were not retained, so they are recorded as unverified.
✓actual inference uses reviewed weightsserve.sh starts vLLM locally on 127.0.0.1:8001 with --model ${ROOT}/model and then runs proxy.py with UPSTREAM pointed a
serve.sh starts vLLM locally on 127.0.0.1:8001 with --model ${ROOT}/model and then runs proxy.py with UPSTREAM pointed at that local server. proxy.py only adds a system instruction, streams the local model's tokens, stops early on an answer marker or closed code fence, and adjusts finish_reason. It makes no external API calls and no lookups. model/model.safetensors is the checkpoint that passed the trusted inventory audit.
✓harness credentials used only by the harnessThe trajectory contains no participant use of model-API keys or base URLs (searches for API_KEY, BASE_URL and api. found
The trajectory contains no participant use of model-API keys or base URLs (searches for API_KEY, BASE_URL and api. found none). The only curl calls download a Python build and check health on the local vLLM endpoint. Spin compute and s5cmd were used for the allowed remote work, and HF_TOKEN was used only for dataset and model downloads.
LLM adversarial review is not proof of arbitrary program behavior. Host storage and task-specific deterministic checks remain required.
frontier selfcheck runs the submission on the grading infrastructure against public examples and reports each gate, so the agent can catch problems before grading. Each run gets four. This agent used 4 of 4.
- 1failed2h 33m into the runtook 7m 50s
failed startup: Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: ine 124)) Processing ./wheels/tqdm-4.70.1-py3-none-any.whl (from -r /submission/requirements-serve
3 gates
- ✓review prerequisites
- ✓checkpoint audit
- ✗startup · Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: ine 124)) Processing ./wheels/tqdm-4.70.1-py3-none-any.whl (from -r /submission/requirements-serve.txt (line 125)) Processing ./wheels/transformers-5.18.0-py3-none-any.whl (from -r /submission/requirements-serve.txt (line 126)) Processing ./wheels/triton-3.4.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (from -r /submission/requirements-serve.txt (line 127)) Processing ./wheels/truststore-0.10.4-py3-none-any.whl (from -r /submission/requirements-serve.txt (line 128)) Processing ./wheels/typer-0.27.2-py3-none-any.whl (from -r /submission/requirements-serve.txt (line 129)) Requirement already satisfied: typing-extensions==4.16.0 in /opt/venv/lib/python3.12/site-packages (from -r /submission/requirements-serve.txt (line 130)) (4.16.0) Processing ./wheels/typing_inspection-0.4.4-py3-none-any.whl (from -r /submission/requirements-serve.txt (line 131)) Processing ./wheels/urllib3-2.8.0-py3-none-any.whl (from -r /submission/requirements-serve.txt (line 132)) Processing ./wheels/uvicorn-0.54.0-py3-none-any.whl (from -r /submission/requirements-serve.txt (line 133)) Processing ./wheels/vllm-0.11.0-cp38-abi3-manylinux1_x86_64.whl (from -r /submission/requirements-serve.txt (line 134)) Processing ./wheels/xformers-0.0.32.post1-cp39-abi3-manylinux_2_28_x86_64.whl (from -r /submission/requirements-serve.txt (line 135)) Processing ./wheels/xgrammar-0.1.25-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from -r /submission/requirements-serve.txt (line 136)) Processing ./wheels/yarl-1.25.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (from -r /submission/requirements-serve.txt (line 137)) INFO: pip is looking at multiple versions of fastapi-cli to determine which version is compatible with other requirements. This could take a wh ...[clipped]
- 2failed2h 42m into the runtook 7m 53s
failed startup: Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: vidia-cuda-cupti-cu12-12.8.90 nvidia-cuda-nvrtc-cu12-12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvid
3 gates
- ✓review prerequisites
- ✓checkpoint audit
- ✗startup · Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: vidia-cuda-cupti-cu12-12.8.90 nvidia-cuda-nvrtc-cu12-12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.3.83 nvidia-cufile-cu12-1.13.1.3 nvidia-curand-cu12-10.3.9.90 nvidia-cusolver-cu12-11.7.3.90 nvidia-cusparse-cu12-12.5.8.93 nvidia-cusparselt-cu12-0.7.1 nvidia-nccl-cu12-2.27.3 nvidia-nvjitlink-cu12-12.8.93 nvidia-nvtx-cu12-12.8.90 openai-3.24.0 openai-harmony-0.0.8 opencv-python-headless-5.0.0.93 opentelemetry-api-1.45.0 opentelemetry-exporter-http-transport-0.66b0 opentelemetry-exporter-otlp-common-0.66b0 opentelemetry-exporter-otlp-proto-common-1.45.0 opentelemetry-exporter-otlp-proto-http-1.45.0 opentelemetry-proto-1.45.0 opentelemetry-sdk-1.45.0 opentelemetry-semantic-conventions-0.66b0 outlines-core-0.2.11 packaging-26.3 partial-json-parser-0.2.1.1.post7 pillow-12.3.0 prometheus-client-0.26.0 prometheus-fastapi-instrumentator-8.1.0 propcache-0.5.4 protobuf-7.36.2 psutil-7.2.2 py-cpuinfo-9.0.0 pybase64-1.5.0 pycountry-26.2.16 pycparser-3.0 pydantic-2.13.5 pydantic-core-2.46.5 pydantic-extra-types-2.11.1 pydantic-settings-2.15.0 pygments-2.21.0 python-dotenv-1.2.4 python-json-logger-4.2.0 pyyaml-6.0.3 pyzmq-27.2.0 ray-2.59.0 referencing-0.37.0 regex-2026.9.29 requests-2.34.2 rpds-py-2026.6.3 safetensors-0.8.0 scipy-1.18.1 sentencepiece-0.2.2 setproctitle-1.3.8 setuptools-79.0.1 shellingham-1.5.4 six-1.17.0 sniffio-1.3.1 starlette-1.7.0 sympy-1.14.0 tiktoken-0.14.0 tokenizers-0.23.2 torch-2.8.0+cu128 tqdm-4.70.1 transformers-5.18.0 triton-3.4.0 truststore-0.10.4 typer-0.27.2 typing-inspection-0.4.4 urllib3-2.8.0 uvicorn-0.54.0 vllm-0.11.0 xformers-0.0.32.post1 xgrammar-0.1.25 yarl-1.25.1 vLLM exited during startup Traceback (most recent call last): File "<frozen runpy>", line 198, in _run_module_as_main File "<frozen runpy>", l ...[clipped]
- 3failed3h 6m into the runtook 7m 52s
failed startup: Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: 12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.3.83 n
3 gates
- ✓review prerequisites
- ✓checkpoint audit
- ✗startup · Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: 12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.3.83 nvidia-cufile-cu12-1.13.1.3 nvidia-curand-cu12-10.3.9.90 nvidia-cusolver-cu12-11.7.3.90 nvidia-cusparse-cu12-12.5.8.93 nvidia-cusparselt-cu12-0.7.1 nvidia-nccl-cu12-2.27.3 nvidia-nvjitlink-cu12-12.8.93 nvidia-nvtx-cu12-12.8.90 openai-3.24.0 openai-harmony-0.0.8 opencv-python-headless-5.0.0.93 opentelemetry-api-1.45.0 opentelemetry-exporter-http-transport-0.66b0 opentelemetry-exporter-otlp-common-0.66b0 opentelemetry-exporter-otlp-proto-common-1.45.0 opentelemetry-exporter-otlp-proto-http-1.45.0 opentelemetry-proto-1.45.0 opentelemetry-sdk-1.45.0 opentelemetry-semantic-conventions-0.66b0 outlines-core-0.2.11 packaging-26.3 partial-json-parser-0.2.1.1.post7 pillow-12.3.0 prometheus-client-0.26.0 prometheus-fastapi-instrumentator-8.1.0 propcache-0.5.4 protobuf-7.36.2 psutil-7.2.2 py-cpuinfo-9.0.0 pybase64-1.5.0 pycountry-26.2.16 pycparser-3.0 pydantic-2.13.5 pydantic-core-2.46.5 pydantic-extra-types-2.11.1 pydantic-settings-2.15.0 pygments-2.21.0 python-dotenv-1.2.4 python-json-logger-4.2.0 pyyaml-6.0.3 pyzmq-27.2.0 ray-2.59.0 referencing-0.37.0 regex-2026.9.29 requests-2.34.2 rpds-py-2026.6.3 safetensors-0.8.0 scipy-1.18.1 sentencepiece-0.2.2 setproctitle-1.3.8 setuptools-79.0.1 shellingham-1.5.4 six-1.17.0 sniffio-1.3.1 starlette-1.7.0 sympy-1.14.0 tiktoken-0.14.0 tokenizers-0.22.1 torch-2.8.0+cu128 tqdm-4.70.1 transformers-4.57.1 triton-3.4.0 truststore-0.10.4 typer-0.27.2 typing-inspection-0.4.4 urllib3-2.8.0 uvicorn-0.54.0 vllm-0.11.0 xformers-0.0.32.post1 xgrammar-0.1.25 yarl-1.25.1 imports 2.8.0+cu128 0.11.0 vLLM exited during startup ----- vllm.log tail ----- Traceback (most recent call last): File "<frozen runpy>", line 198, in _run_module_as_main File "<frozen runpy>", l ...[clipped]
- 4failed3h 16m into the runtook 7m 30s
failed startup: Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: Traceback (most recent call last): File "<string>", line 1, in <module> File "/opt/venv/lib/py
3 gates
- ✓review prerequisites
- ✓checkpoint audit
- ✗startup · Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: Traceback (most recent call last): File "<string>", line 1, in <module> File "/opt/venv/lib/python3.12/site-packages/torch/__init__.py", line 416, in <module> from torch._C import * # noqa: F403 ^^^^^^^^^^^^^^^^^^^^^^ ImportError: libcusparseLt.so.0: cannot open shared object file: No such file or directory
The agent's last message before its session ended.
Submitted at 2026-10-03 07:10:01 UTC. The graded copy is the tree in /workspace/output/ as it stood then.
The checkpoint is a LoRA fine-tune of the pinned Qwen3-4B-Base, merged back into that base. The weight audit passed on all four self-checks: 398 bf16 tensors, original names and shapes, tied embeddings. Training used only published train splits (OpenR1-Math-220k, decontaminated codeforces-cots, Mixture-of-Thoughts science). No other model's weights were merged in.
serve.sh installs the vendored wheels offline and serves an OpenAI-compatible chat endpoint. The chat template opens a <think> span so the model reasons on the question, and a small proxy stops the completion once an ANSWER: line or a generated Python fence is present, so a long trace is not scored as a length cutoff.
The last self-check failed before health because libcusparseLt.so.0 was missing. That wheel is back in the submission, and the same vLLM stack reached health and answered on-question on the leased H100. There were no self-checks left to confirm the restored startup on the grader image.