on-policy-self-distillation
gpt-5.6-sol
on-policy-self-distillation — graded by the task's verifier against a measured baseline.
- backend
- modal
- variant
- codex azure_ai/gpt-5.6-sol
- metric
- AIME24 avg@12 accuracy
- actions
- 428
- duration
- 9h 21m
- recorded
- 2026-08-02
run idopsd-aime24-4gpus__eNDoWrD
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗codexgpt-5.6-sol444 turns16 narration428 reasoning428 action428 observation1 final
#51
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{}exec result
training continues (3/3 polling interval)#52
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "let out=\"\";\nfor (let i=0;i<4;i++){\n const r=await tools.write_stdin({session_id:80474,chars:\"\",yield_time_ms:60000,max_output_tokens:80});\n out += r.output.slice(-160)+\"\\n\";\n if(r.exit_code!==undefined) break;\n}\ntext(out);"
}exec result
Script running with cell ID 31
Wall time 11.0 seconds
Output:
#53
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "31",
"yield_time_ms": 60000,
"max_tokens": 200
}wait result
Script running with cell ID 31
Wall time 61.0 seconds
Output:
#54
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "31",
"yield_time_ms": 60000,
"max_tokens": 200
}wait result
Script running with cell ID 31
Wall time 61.0 seconds
Output:
#55
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "31",
"yield_time_ms": 60000,
"max_tokens": 200
}wait result
Script running with cell ID 31
Wall time 61.0 seconds
Output:
#56
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "31",
"yield_time_ms": 60000,
"max_tokens": 300
}wait result
Script completed
Wall time 30.2 seconds
Output:
truncated…tions_step_50.json
================================================================================
51%|█████ | 51/100 [06:53<06:38, 8.14s/it]
3250, avg length: 812.5, speed: 972.2 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3621, avg length: 905.2, speed: 1074.9 tok/s
2779, avg length: 694.8, speed: 842.3 tok/s
vLLM generation done - elapsed time: 3.41s, prompts: 4, total tokens: 3728, avg length: 932.0, speed: 1092.4 tok/s
okens truncated… - elapsed time: 3.38s, prompts: 4, total tokens: 3925, avg length: 981.2, speed: 1162.4 tok/s
73%|███████▎ | 73/100 [09:52<03:39, 8.13s/it]
#57
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "let out=\"\";\nfor (let i=0;i<4;i++){\n const r=await tools.write_stdin({session_id:80474,chars:\"\",yield_time_ms:60000,max_output_tokens:100});\n out += r.output.slice(-200)+\"\\n\";\n if(r.exit_code!==undefined) {out += `EXIT ${r.exit_code}`; break;}\n}\ntext(out);"
}exec result
Script running with cell ID 32
Wall time 11.0 seconds
Output:
#58
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "32",
"yield_time_ms": 60000,
"max_tokens": 300
}wait result
Script running with cell ID 32
Wall time 61.0 seconds
Output:
#59
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "32",
"yield_time_ms": 60000,
"max_tokens": 300
}wait result
Script running with cell ID 32
Wall time 61.0 seconds
Output:
#60
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "32",
"yield_time_ms": 60000,
"max_tokens": 500
}wait result
Script running with cell ID 32
Wall time 61.0 seconds
Output:
#61
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "32",
"yield_time_ms": 60000,
"max_tokens": 500
}wait result
Script completed
Wall time 6.8 seconds
Output:
okens truncated…===================
81%|████████ | 81/100 [10:57<02:34, 8.12s/it]vLLM generation done - elapsed time: 3.29s, prompts: 4, total tokens: 2870, avg length: 717.5, speed: 871.3 tok/s
ime: 3.39s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1206.5 tok/s
vLLM generation done - elapsed time: 3.40s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1204.2 tok/s
36 tokens truncated…
{'loss': 0.0137, 'grad_norm': 0.04672965034842491, 'learning_rate': 5e-06, 'on_policy_loss': 0.0137, 'epoch': 0.1}
96%|█████████▌| 96/100 [12:59<00:32, 8.14s/it]
xit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
TRAIN_CKPT=/workspace/runs/klclip/capped_seed42/checkpoint-100
EXIT 0#62
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.exec_command({cmd:\"VAL_N=4 NUM_PROBLEMS=15 bash /workspace/dev_eval.sh /workspace/runs/klclip/capped_seed42/checkpoint-100\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":2000});\ntext(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`);"
}exec result
Script completed
Wall time 1.2 seconds
Output:
SESSION_ID=7182#63
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r=await tools.write_stdin({session_id:7182,chars:\"\",yield_time_ms:60000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 34
Wall time 11.0 seconds
Output:
#64
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "34",
"yield_time_ms": 50000,
"max_tokens": 3000
}wait result
Script completed
Wall time 46.5 seconds
Output:
Warning: truncated output (original token count: 3027)
Total output lines: 98
Warning: truncated output (original token count: 5914)
Total output lines: 154
`torch_dtype` is deprecated! Use `dtype` instead!
Checkpoint kind: lora
Merging LoRA adapter into base weights for evaluation (CPU, once)...
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 49.94it/s]
Generating with data_parallel_size=4 (TP=1 per engine) ...
INFO 08-02 18:51:50 [__init__.py:216] Automatically detected platform cuda.
INFO 08-02 18:51:50 [__init__.py:216] Automatically detected platform cuda.
INFO 08-02 18:51:50 [__init__.py:216] Automatically detected platform cuda.
INFO 08-02 18:51:50 [__init__.py:216] Automatically detected platform cuda.
INFO 08-02 18:51:53 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_opuw42cb] to model_path [/tmp/opsd_merged_opuw42cb]
INFO 08-02 18:51:53 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_opuw42cb] to model_path [/tmp/opsd_merged_opuw42cb]
INFO 08-02 18:51:53 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_opuw42cb] to model_path [/tmp/opsd_merged_opuw42cb]
INFO 08-02 18:51:53 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_opuw42cb] to model_path [/tmp/opsd_merged_opuw42cb]
INFO 08-02 18:51:53 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_opuw42cb'}
INFO 08-02 18:51:53 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_opuw42cb'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-02 18:51:53 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-02 18:51:53 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-02 18:51:53 [model.py:1510] Using max model len 40960
INFO 08-02 18:51:53 [model.py:1510] Using max model len 40960
INFO 08-02 18:51:53 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_opuw42cb] to model_path [/tmp/opsd_merged_opuw42cb]
INFO 08-02 18:51:53 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_opuw42cb] to model_path [/tmp/opsd_merged_opuw42cb]
INFO 08-02 18:51:53 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_opuw42cb'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-02 18:51:53 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_opuw42cb] to model_path [/tmp/opsd_merged_opuw42cb]
INFO 08-02 18:51:53 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_opuw42cb] to model_path [/tmp/opsd_merged_opuw42cb]
INFO 08-02 18:51:53 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_opuw42cb'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-02 18:51:53 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-02 18:51:53 [model.py:1510] Using max model len 40960
INFO 08-02 18:51:53 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-02 18:51:53 [model.py:1510] Using max model len 40960
INFO 08-02 18:51:53 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-02 18:51:53 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-02 18:51:53 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-02 18:51:53 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:51:53 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:51:53 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:51:53 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-02 18:51:53 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:51:54 [core.py:644] Waiting for init message from front-end.
[1;36m(EngineCore_DP0 pid=5571)[0;0m INFO 08-02 18:51:54 [core.py:644] Waiting for init message from front-end.
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:51:54 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='/tmp/opsd_merged_opuw42cb', speculative_config=None, tokenizer='/tmp/opsd_merged_opuw42cb', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=40960, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=20260610, served_model_name=/tmp/opsd_merged_opuw42cb, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":0,"debug_dump_path":"","cache…27 tokens truncated…/it]
[1;36m(EngineCore_DP0 pid=5568)[0;0m
[1;36m(EngineCore_DP0 pid=5571)[0;0m
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:06<00:00, 6.41s/it]
[1;36m(EngineCore_DP0 pid=5571)[0;0m
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:06<00:00, 6.41s/it]
[1;36m(EngineCore_DP0 pid=5571)[0;0m
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:52:04 [default_loader.py:267] Loading weights took 6.38 seconds
[1;36m(EngineCore_DP0 pid=5571)[0;0m INFO 08-02 18:52:04 [default_loader.py:267] Loading weights took 6.41 seconds
[1;36m(EngineCore_DP0 pid=5575)[0;0m
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:06<00:00, 6.21s/it]
[1;36m(EngineCore_DP0 pid=5575)[0;0m
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:06<00:00, 6.21s/it]
[1;36m(EngineCore_DP0 pid=5575)[0;0m
[1;36m(EngineCore_DP0 pid=5575)[0;0m INFO 08-02 18:52:05 [default_loader.py:267] Loading weights took 6.21 seconds
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:52:05 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 6.632351 seconds
[1;36m(EngineCore_DP0 pid=5572)[0;0m INFO 08-02 18:52:05 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 6.510141 seconds
[1;36m(EngineCore_DP0 pid=5571)[0;0m INFO 08-02 18:52:05 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 6.711385 seconds
[1;36m(EngineCore_DP0 pid=5575)[0;0m INFO 08-02 18:52:05 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 6.575462 seconds
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:52:06 [gpu_worker.py:298] Available KV cache memory: 116.86 GiB
[1;36m(EngineCore_DP0 pid=5572)[0;0m INFO 08-02 18:52:06 [gpu_worker.py:298] Available KV cache memory: 116.86 GiB
[1;36m(EngineCore_DP0 pid=5571)[0;0m INFO 08-02 18:52:06 [gpu_worker.py:298] Available KV cache memory: 116.86 GiB
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:52:06 [kv_cache_utils.py:1087] GPU KV cache size: 1,094,064 tokens
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:52:06 [kv_cache_utils.py:1091] Maximum concurrency for 40,960 tokens per request: 26.71x
[1;36m(EngineCore_DP0 pid=5568)[0;0m WARNING 08-02 18:52:06 [cudagraph_dispatcher.py:106] cudagraph dispatching keys are not initialized. No cudagraph will be used.
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:52:06 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.52 seconds
[1;36m(EngineCore_DP0 pid=5572)[0;0m INFO 08-02 18:52:06 [kv_cache_utils.py:1087] GPU KV cache size: 1,094,064 tokens
[1;36m(EngineCore_DP0 pid=5572)[0;0m INFO 08-02 18:52:06 [kv_cache_utils.py:1091] Maximum concurrency for 40,960 tokens per request: 26.71x
[1;36m(EngineCore_DP0 pid=5571)[0;0m INFO 08-02 18:52:07 [kv_cache_utils.py:1087] GPU KV cache size: 1,094,064 tokens
[1;36m(EngineCore_DP0 pid=5571)[0;0m INFO 08-02 18:52:07 [kv_cache_utils.py:1091] Maximum concurrency for 40,960 tokens per request: 26.71x
[1;36m(EngineCore_DP0 pid=5572)[0;0m WARNING 08-02 18:52:07 [cudagraph_dispatcher.py:106] cudagraph dispatching keys are not initialized. No cudagraph will be used.
[1;36m(EngineCore_DP0 pid=5572)[0;0m INFO 08-02 18:52:07 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.67 seconds
[1;36m(EngineCore_DP0 pid=5571)[0;0m WARNING 08-02 18:52:07 [cudagraph_dispatcher.py:106] cudagraph dispatching keys are not initialized. No cudagraph will be used.
[1;36m(EngineCore_DP0 pid=5571)[0;0m INFO 08-02 18:52:07 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.58 seconds
[1;36m(EngineCore_DP0 pid=5575)[0;0m INFO 08-02 18:52:07 [gpu_worker.py:298] Available KV cache memory: 116.86 GiB
[1;36m(EngineCore_DP0 pid=5575)[0;0m INFO 08-02 18:52:07 [kv_cache_utils.py:1087] GPU KV cache size: 1,094,064 tokens
[1;36m(EngineCore_DP0 pid=5575)[0;0m INFO 08-02 18:52:07 [kv_cache_utils.py:1091] Maximum concurrency for 40,960 tokens per request: 26.71x
[1;36m(EngineCore_DP0 pid=5568)[0;0m INFO 08-02 18:52:07 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5575)[0;0m WARNING 08-02 18:52:07 [cudagraph_dispatcher.py:106] cudagraph dispatching keys are not initialized. No cudagraph will be used.
[1;36m(EngineCore_DP0 pid=5575)[0;0m INFO 08-02 18:52:07 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.78 seconds
[1;36m(EngineCore_DP0 pid=5571)[0;0m INFO 08-02 18:52:07 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5572)[0;0m INFO 08-02 18:52:07 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:52:07 [llm.py:306] Supported_tasks: ['generate']
Adding requests: 0%| | 0/4 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 4/4 [00:00<00:00, 259.43it/s]
Processed prompts: 0%| | 0/16 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-02 18:52:07 [llm.py:306] Supported_tasks: ['generate']
INFO 08-02 18:52:07 [llm.py:306] Supported_tasks: ['generate']
Adding requests: 0%| | 0/4 [00:00<?, ?it/s]
Adding requests: 0%| | 0/4 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 4/4 [00:00<00:00, 190.90it/s]
Processed prompts: 0%| | 0/16 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
Adding requests: 100%|██████████| 4/4 [00:00<00:00, 243.95it/s]
Processed prompts: 0%| | 0/16 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s][1;36m(EngineCore_DP0 pid=5575)[0;0m INFO 08-02 18:52:08 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:52:08 [llm.py:306] Supported_tasks: ['generate']
Adding requests: 0%| | 0/3 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 3/3 [00:00<00:00, 233.73it/s]
Processed prompts: 0%| | 0/12 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]#65
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "let out=\"\";\nfor(let i=0;i<5;i++){const r=await tools.write_stdin({session_id:7182,chars:\"\",yield_time_ms:60000,max_output_tokens:200});out+=r.output.slice(-400)+\"\\n\";if(r.exit_code!==undefined){out+=`EXIT ${r.exit_code}`;break;}}\ntext(out);"
}exec result
Script running with cell ID 35
Wall time 11.0 seconds
Output:
#66
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "35",
"yield_time_ms": 60000,
"max_tokens": 500
}wait result
Script running with cell ID 35
Wall time 61.0 seconds
Output:
#67
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "35",
"yield_time_ms": 60000,
"max_tokens": 500
}wait result
Script running with cell ID 35
Wall time 61.0 seconds
Output:
#68
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "35",
"yield_time_ms": 60000,
"max_tokens": 500
}wait result
Script running with cell ID 35
Wall time 61.0 seconds
Output:
#69
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "35",
"yield_time_ms": 60000,
"max_tokens": 800
}wait result
Script running with cell ID 35
Wall time 61.0 seconds
Output:
#70
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "35",
"yield_time_ms": 60000,
"max_tokens": 800
}wait result
Script completed
Wall time 22.4 seconds
Output:
Processed prompts: 25%|██▌ | 4/16 [01:16<03:49, 19.12s/it, est. speed input: 7.74 toks/s, output: 335.81 toks/s]
Processed prompts: 25%|██▌ | 4/16 [01:24<04:13, 21.16s/it, est. speed input: 7.37 toks/s, output: 268.07 toks/s]
put: 2.56 toks/s, output: 267.85 toks/s]
Processed prompts: 50%|█████ | 8/16 [02:24<02:19, 17.47s/it, est. speed input: 6.77 toks/s, output: 435.88 toks/s]
Processed prompts: 67%|██████▋ | 8/12 [02:31<01:07, 16.95s/it, est. speed input: 3.96 toks/s, output: 499.96 toks/s]
Processed prompts: 25%|██▌ | 4/16 [02:39<07:57, 39.77s/it, est. speed input: 2.69 toks/s, output: 302.80 toks/s]
Processed prompts: 75%|███████▌ | 12/16 [02:53<00:51, 12.87s/it, est. speed input: 7.25 toks/s, output: 614.82 toks/s]
Processed prompts: 50%|█████ | 8/16 [03:12<03:19, 24.94s/it, est. speed input: 5.51 toks/s, output: 463.14 toks/s]
Processed prompts: 100%|██████████| 16/16 [04:23<00:00, 16.65s/it, est. speed input: 6.62 toks/s, output: 624.37 toks/s]
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peed input: 5.57 toks/s, output: 1010.4…80 tokens truncated…|██████████| 12/12 [05:15<00:00, 28.00s/it, est. speed input: 3.22 toks/s, output: 539.92 toks/s]
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#71
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r=await tools.write_stdin({session_id:7182,chars:\"\",yield_time_ms:60000,max_output_tokens:2000});text(r.output);\n"
}exec result
Script running with cell ID 36
Wall time 11.0 seconds
Output:
#72
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "36",
"yield_time_ms": 60000,
"max_tokens": 2000
}wait result
Script completed
Wall time 17.5 seconds
Output:
Processed prompts: 75%|███████▌ | 12/16 [05:54<02:08, 32.06s/it, est. speed input: 4.96 toks/s, output: 521.37 toks/s]
Processed prompts: 100%|██████████| 16/16 [06:22<00:00, 22.13s/it, est. speed input: 5.96 toks/s, output: 718.67 toks/s]
Processed prompts: 100%|██████████| 16/16 [06:22<00:00, 22.13s/it, est. speed input: 5.96 toks/s, output: 718.67 toks/s]
Processed prompts: 100%|██████████| 16/16 [06:22<00:00, 23.90s/it, est. speed input: 5.96 toks/s, output: 718.67 toks/s]
FINAL avg@4 accuracy: 55.00% (33/60 solutions correct on 15 problems)
Results written to /workspace/eval_results/dev_eval_1785696691.json
#73
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nfrom datasets import load_dataset\\nD=load_dataset('siyanzhao/Openthoughts_math_30k_opsd')['train']\\nfor src in ['amc_aime','aops_forum']:\\n X=D.filter(lambda x:x['source']==src)\\n print('\\\\n',src,len(X))\\n for i in range(8): print(i,X[i]['problem'][:250].replace('\\\\n',' '), 'ANS',X[i]['Answer'][:30])\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":10000});\ntext(r.output);"
}exec result
Script completed
Wall time 3.0 seconds
Output:
Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug 2 18:36:08 2026).
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amc_aime 477
0 The operation $\otimes$ is defined for all nonzero numbers by $a\otimes b =\frac{a^{2}}{b}$. Determine $[(1\otimes 2)\otimes 3]-[1\otimes (2\otimes 3)]$. $\text{(A)}\ -\frac{2}{3}\qquad\text{(B)}\ -\frac{1}{4}\qquad\text{(C)}\ 0\qquad\text{(D)}\ \fra ANS A
1 If $991+993+995+997+999=5000-N$, then $N=$ $\text{(A)}\ 5 \qquad \text{(B)}\ 10 \qquad \text{(C)}\ 15 \qquad \text{(D)}\ 20 \qquad \text{(E)}\ 25$ ANS \text{E}
2 During the softball season, Judy had $35$ hits. Among her hits were $1$ home run, $1$ triple and $5$ doubles. The rest of her hits were single. What percent of her hits were single? $\text{(A)}\ 28\% \qquad \text{(B)}\ 35\% \qquad \text{(C)}\ 70\% ANS \text{E}
3 The graph, $G$ of $y=\log_{10}x$ is rotated $90^{\circ}$ counter-clockwise about the origin to obtain a new graph $G'$. Which of the following is an equation for $G'$? (A) $y=\log_{10}\left(\frac{x+90}{9}\right)$ (B) $y=\log_{x}10$ (C) $y=\frac{1}{x+ ANS D
4 Jose, Thuy, and Kareem each start with the number 10. Jose subtracts 1 from the number 10, doubles his answer, and then adds 2. Thuy doubles the number 10, subtracts 1 from her answer, and then adds 2. Kareem subtracts 1 from the number 10, adds 2 ANS \text{C}
5 Diameter $AB$ of a circle has length a $2$-digit integer (base ten). Reversing the digits gives the length of the perpendicular chord $CD$. The distance from their intersection point $H$ to the center $O$ is a positive rational number. Determine the ANS 65
6 Which of the following is the negation of the statement: For all $x$ of a certain set, $x^2>0$? $\textbf{(A)}\ \text{For all x}, x^2 < 0\qquad \textbf{(B)}\ \text{For all x}, x^2 \le 0\qquad \textbf{(C)}\ \text{For no x}, x^2>0\qquad \\ \textbf{(D)}\ ANS \textbf{(E)}
7 Consider all 1000-element subsets of the set $\{1, 2, 3, ... , 2015\}$. From each such subset choose the least element. The arithmetic mean of all of these least elements is $\frac{p}{q}$, where $p$ and $q$ are relatively prime positive integers. ANS 431
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aops_forum 2291
0 $$ \frac{1}{1\cdot2}+\frac{1}{2\cdot3}+\frac{1}{3\cdot4}+\dots+\frac{1}{2014\cdot2015}=\frac{m}{n}, $$ where $\frac{m}{n}$ is irreducible. a) Find $m+n.$ b) Find the remainder of division of $(m+3)^{1444}$ to $n{}$ . ANS 16
1 Let $L$ be the number formed by $2022$ digits equal to $1$ , that is, $L=1111\dots 111$ . Compute the sum of the digits of the number $9L^2+2L$ . ANS 4044
2 In triangle $ABC$ such that $\angle ACB=90^{\circ}$ , let point $H$ be foot of perpendicular from point $C$ to side $AB$ . Show that sum of radiuses of incircles of $ABC$ , $BCH$ and $ACH$ is $CH$ ANS CH
3 Andrea is three times as old as Jim was when Jim was twice as old as he was when the sum of their ages was $47$ . If Andrea is $29$ years older than Jim, what is the sum of their ages now? ANS 79
4 For $f(x)=x^4+|x|,$ let $I_1=\int_0^\pi f(\cos x)\ dx,\ I_2=\int_0^\frac{\pi}{2} f(\sin x)\ dx.$
Find the value of $\frac{I_1}{I_2}.$ ANS 2
5 Points $A$ , $B$ , and $C$ lie in that order on line $\ell$ such that $AB=3$ and $BC=2$ . Point $H$ is such that $CH$ is perpendicular to $\ell$ . Determine the length $CH$ such that $\angle AHB$ is as large as possible. ANS \sqrt{10}
6 What is the largest integer that must divide $n^5-5n^3+4n$ for all integers $n$ ? *2016 CCA Math Bonanza Lightning #2.4* ANS 120
7 An ant is crawling along the coordinate plane. Each move, it moves one unit up, down, left, or right with equal probability. If it starts at $(0,0)$ , what is the probability that it will be at either $(2,1)$ or $(1,2)$ after $6$ moves? *202 ANS 0
#74
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nfrom datasets import load_dataset\\nimport re\\nD=load_dataset('siyanzhao/Openthoughts_math_30k_opsd')['train']\\nX=[x for x in D if x['source']=='amc_aime']\\nfor pat in [r'\\\\\\\\text\\\\{\\\\(A\\\\)\\\\}',r'\\\\(A\\\\)',r'\\\\\\\\textbf\\\\{\\\\(A\\\\)\\\\}',r'\\\\bA\\\\)',r'\\\\\\\\qquad']:\\n print(pat,sum(bool(re.search(pat,x['problem'])) for x in X))\\nY=[x for x in X if not (re.search(r'\\\\\\\\text(?:bf)?\\\\{\\\\(?A\\\\)?\\\\}|\\\\(A\\\\)|\\\\bA\\\\)',x['problem']))]\\nprint('nonMC',len(Y))\\nfor x in Y[:30]: print(x['problem'][:180].replace('\\\\n',' '),'ANS',x['Answer'])\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":12000});\ntext(r.output);"
}exec result
Script completed
Wall time 3.5 seconds
Output:
Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug 2 18:58:42 2026).
\\text\{\(A\)\} 140
\(A\) 382
\\textbf\{\(A\)\} 79
\bA\) 382
\\qquad 309
nonMC 94
Diameter $AB$ of a circle has length a $2$-digit integer (base ten). Reversing the digits gives the length of the perpendicular chord $CD$. The distance from their intersection poi ANS 65
Consider all 1000-element subsets of the set $\{1, 2, 3, ... , 2015\}$. From each such subset choose the least element. The arithmetic mean of all of these least elements is $\fr ANS 431
The number $n$ can be written in base $14$ as $\underline{a}\text{ }\underline{b}\text{ }\underline{c}$, can be written in base $15$ as $\underline{a}\text{ }\underline{c}\text{ }\ ANS 925
Find the number of $7$-tuples of positive integers $(a,b,c,d,e,f,g)$ that satisfy the following systems of equations: \begin{align*} abc&=70,\\ cde&=71,\\ efg&=72. \end{align*} ANS 96
Find the number of ordered triples $(a,b,c)$ where $a$, $b$, and $c$ are positive [integers](https://artofproblemsolving.com/wiki/index.php/Integer), $a$ is a [factor](https://arto ANS 200
Let the [set](https://artofproblemsolving.com/wiki/index.php/Set) $\mathcal{S} = \{8, 5, 1, 13, 34, 3, 21, 2\}.$ Susan makes a list as follows: for each two-element subset of $\mat ANS 484
The vertices of $\triangle ABC$ are $A = (0,0)\,$, $B = (0,420)\,$, and $C = (560,0)\,$. The six faces of a die are labeled with two $A\,$'s, two $B\,$'s, and two $C\,$'s. Point ANS 344
Let $x$, $y$ and $z$ all exceed $1$ and let $w$ be a positive number such that $\log_x w = 24$, $\log_y w = 40$ and $\log_{xyz} w = 12$. Find $\log_z w$. ANS 60
$a_1, a_2, \ldots, a_n$ is an arbitrary sequence of positive integers. A member of the sequence is picked at random. Its value is $a$. Another member is picked at random, independ ANS \frac{1}{4}
The system of equations \begin{eqnarray*}\log_{10}(2000xy) - (\log_{10}x)(\log_{10}y) & = & 4 \\ \log_{10}(2yz) - (\log_{10}y)(\log_{10}z) & = & 1 \\ \log_{10}(zx) - (\log_{10}z)(\ ANS 25
Suppose $n$ is a [positive integer](https://artofproblemsolving.com/wiki/index.php/Positive_integer) and $d$ is a single [digit](https://artofproblemsolving.com/wiki/index.php/Digi ANS 750
A group of clerks is assigned the task of sorting $1775$ files. Each clerk sorts at a constant rate of $30$ files per hour. At the end of the first hour, some of the clerks are rea ANS 945
Find the number of ordered pairs of positive integers $(m,n)$ such that ${m^2n = 20 ^{20}}$. ANS 231
Jon and Steve ride their bicycles along a path that parallels two side-by-side train tracks running the east/west direction. Jon rides east at $20$ miles per hour, and Steve rides ANS 49
Two unit squares are selected at random without replacement from an $n \times n$ grid of unit squares. Find the least positive integer $n$ such that the probability that the two se ANS 90
Determine the number of [ordered pairs](https://artofproblemsolving.com/wiki/index.php/Ordered_pair) $(a,b)$ of [integers](https://artofproblemsolving.com/wiki/index.php/Integer) s ANS 54
[Set](https://artofproblemsolving.com/wiki/index.php/Set) $A$ consists of $m$ consecutive integers whose sum is $2m$, and set $B$ consists of $2m$ consecutive integers whose sum is ANS 201
Define a sequence recursively by $t_1 = 20$, $t_2 = 21$, and\[t_n = \frac{5t_{n-1}+1}{25t_{n-2}}\]for all $n \ge 3$. Then $t_{2020}$ can be expressed as $\frac{p}{q}$, where $p$ an ANS 626
Before starting to paint, Bill had $130$ ounces of blue paint, $164$ ounces of red paint, and $188$ ounces of white paint. Bill painted four equally sized stripes on a wall, making ANS 114
The value of $x$ that satisfies $\log_{2^x} 3^{20} = \log_{2^{x+3}} 3^{2020}$ can be written as $\frac{m}{n}$, where $m$ and $n$ are relatively prime positive integers. Find $m+n$. ANS 103
A hexagon that is inscribed in a circle has side lengths $22$, $22$, $20$, $22$, $22$, and $20$ in that order. The radius of the circle can be written as $p+\sqrt{q}$, where $p$ an ANS 272
A group of children held a grape-eating contest. When the contest was over, the winner had eaten $n$ grapes, and the child in $k$-th place had eaten $n+2-2k$ grapes. The total num ANS 89
Square $AIME$ has sides of length $10$ units. Isosceles triangle $GEM$ has base $EM$, and the area common to triangle $GEM$ and square $AIME$ is $80$ square units. Find the lengt ANS 25
Anh read a book. On the first day she read $n$ pages in $t$ minutes, where $n$ and $t$ are positive integers. On the second day Anh read $n + 1$ pages in $t + 1$ minutes. Each day ANS 53
For positive real numbers $x$ and $y$ define $x*y=\frac{x\cdot y}{x+y}$' then $\mathrm{(E) \ }\text{none of these} \qquad$ ANS \text{E}
A pyramid has a triangular base with side lengths $20$, $20$, and $24$. The three edges of the pyramid from the three corners of the base to the fourth vertex of the pyramid all ha ANS 803
Initially Alex, Betty, and Charlie had a total of $444$ peanuts. Charlie had the most peanuts, and Alex had the least. The three numbers of peanuts that each person had formed a ge ANS 108
A faulty car odometer proceeds from digit 3 to digit 5, always skipping the digit 4, regardless of position. If the odometer now reads 002005, how many miles has the car actually t ANS \text{B}
Find the number of ordered pairs of positive integer solutions $(m, n)$ to the equation $20m + 12n = 2012$. ANS 34
Let $(a,b,c)$ be the [real](https://artofproblemsolving.com/wiki/index.php/Real_number) solution of the system of equations $x^3 - xyz = 2$, $y^3 - xyz = 6$, $z^3 - xyz = 20$. The ANS 158
#75
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nfrom datasets import load_dataset\\nimport re\\nD=load_dataset('siyanzhao/Openthoughts_math_30k_opsd')['train']\\nfor src in set(D['source']):\\n X=[x for x in D if x['source']==src]\\n digit=[x for x in X if re.fullmatch(r'\\\\s*\\\\\\\\?boxed\\\\{(\\\\d+)\\\\}\\\\s*|\\\\s*(\\\\d+)\\\\s*',x['Answer'] or '') and int(next(y for y in re.fullmatch(r'\\\\s*\\\\\\\\?boxed\\\\{(\\\\d+)\\\\}\\\\s*|\\\\s*(\\\\d+)\\\\s*',x['Answer']).groups() if y))<=999]\\n nonmc=[x for x in digit if not re.search(r'\\\\\\\\text(?:bf)?\\\\{\\\\(?A\\\\)?\\\\}|\\\\(A\\\\)|\\\\bA\\\\)',x['problem'])]\\n print(src,len(X),len(digit),len(nonmc))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000});\ntext(r.output);"
}exec result
Script running with cell ID 39
Wall time 11.0 seconds
Output: