state: generation 5586 (cycle)
This commit is contained in:
@@ -1307,7 +1307,7 @@
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File diff suppressed because it is too large
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"warnings": [
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||||
"GPU Ascend_910-b3 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Vastai_va16 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Iluvatar_mrv-100 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Ascend_910-b4 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Mthreads_s4000 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Sunrise_pt-200-x1 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU MetaX_c-500 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU hygon_k100-ai 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Iluvatar_bi-150 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Cambricon_mlu-370-x4 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Cambricon_mlu-370-x8 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Biren_166m 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Ascend_910-b4 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Cambricon_mlu-370-x8 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU hygon_k100-ai 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"GPU Cambricon_mlu-370-x4 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"组合 Iluvatar_mrv-100|unknown|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
||||
"组合 Cambricon_mlu-370-x4|unknown|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
||||
"组合 Mthreads_s4000|vllm|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
||||
"组合 Cambricon_mlu-370-x8|vllm|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
||||
"组合 Iluvatar_bi-150|vllm_0_17_0_corex_4_4_0|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
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@@ -6995,10 +6969,11 @@
|
||||
"组合 hygon_k100-ai|vllm|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
||||
"组合 Iluvatar_bi-150|vllm|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
||||
"组合 Vastai_va16|vllm|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
||||
"组合 Cambricon_mlu-370-x4|unknown|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。",
|
||||
"组合 hygon_k100-ai|vllm-patch-tokenizer|text-generation 近期失败集中，建议降低该 GPU+框架的提交优先级。"
|
||||
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@@ -297,4 +298,3 @@
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||||
{"failReason": "framework_architecture_unsupported", "failureAction": "block_gpu_framework_architecture", "failureCategory": "framework_architecture_unsupported", "failureClassificationReason": "explicit_framework_model_unsupported", "failureCode": "MODEL_NOT_SUPPORTED", "failureDeterministic": true, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": false, "failureScope": "model_gpu_framework", "failureUnsupportedModelTypes": ["qwen3_5_moe"], "framework": "", "lastSyncTime": "2026-09-08T07:47:20.009326+00:00", "modelId": "mlx-community/Qwen3.5-35B-A3B-OptiQ-4bit-REAP-19B", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-08T07:39:21+00:00", "targetGpu": "Cambricon_mlu-370-x4", "taskId": "4478473", "taskType": "text-generation", "verifyResult": -1}
|
||||
{"failReason": "model_load", "failureAction": "inspect_root_exception_then_llm_if_unknown", "failureCategory": "model_load", "failureClassificationReason": "broad_load_error", "failureCode": "MODEL_LOAD_FAILED", "failureDetectedFramework": "vllm", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "model_gpu_framework", "framework": "vllm", "lastSyncTime": "2026-09-08T07:22:29.130684+00:00", "modelId": "nightmedia/Mistral-Nemo-Instruct-2407-12B-Thinking-M-Claude-Opus-High-Reasoning-mxfp4-mlx", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-08T07:19:21+00:00", "targetGpu": "hygon_k100-ai", "taskId": "4079225", "taskType": "text-generation", "verifyResult": -1}
|
||||
{"failReason": "参数/模板问题", "framework": "vllm", "lastSyncTime": "2026-09-08T23:42:27.831495+00:00", "modelId": "cyankiwi/Ornith-1.5-9B-AWQ-INT4", "modelProfile": {}, "outcome": "failed", "status": "failed", "submitTime": "2026-09-08T06:46:11.934706+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712836", "taskType": "text-generation", "verifyResult": null}
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -1,24 +1,24 @@
|
||||
{
|
||||
"agentVersion": "2026.09.04.4",
|
||||
"checksums": {
|
||||
".modelhub_state/architecture_compatibility_blacklist.json": "53c447f51d5da4ee61d5b6085df56b6d8caa0956b84ec59927d5fd9f3342d641",
|
||||
".modelhub_state/architecture_history_backfill.json": "4b3d5c310373b3f828d9cc274ebddbc730437e77eb6e1a7fc5890de9f35826fb",
|
||||
".modelhub_state/market_intelligence.json": "39ae4440e6a308913d72d7e408c57e8c130a903bacd099df877c244c6165ebb0",
|
||||
".modelhub_state/official_capabilities.json": "4493ed4e33d5672aa22149ae0a94d725ec5e0447e90e36b6da56d681703484f3",
|
||||
".modelhub_state/outcome_checkpoint.json": "19ce09da372093a638920952e034c98e6eaad3a9bca9403076f195ec4bf9d432",
|
||||
".modelhub_state/architecture_compatibility_blacklist.json": "56d57dac01be024692274ef59ac69b6288ae09fdd15134bbf93bcc505a5547da",
|
||||
".modelhub_state/architecture_history_backfill.json": "58270e4e7e17839059e6bfbc2a6e144707b606da6bf0737afd2b716326e9a6d8",
|
||||
".modelhub_state/market_intelligence.json": "5fa7c4e46ab10992613438a9cdebbc074fd741e8433fac48bccd8ce442cf4a48",
|
||||
".modelhub_state/official_capabilities.json": "6f32a4369da43ce20fe828efcf6ac7f2104c0646521ba6e50edcbe5f6e72d7d5",
|
||||
".modelhub_state/outcome_checkpoint.json": "7e43dee88fc6f3f6998a08d56d90db0b259d19538e88f5cc03eeae527d5b9410",
|
||||
".modelhub_state/queue_cleanup_latest.json": "757bb52cd4c1e398d565b25c01e1a394e97727dc87500e4184be2784f229ae2a",
|
||||
".modelhub_state/recent_outcomes.jsonl": "796c6e8d248a155b5498d9b59bedef3eceb69eb00ed8abed3b55fdf67a8756b9",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "8b4177734aea8242a3486ac5c11e5a883e6c4a5f276a4b081e822b5bf35d5f1e",
|
||||
".modelhub_state/recovery_intents.jsonl": "6c438404b44e6e93abc87d94a0397a423ce9196cb1edfc66a45852a3d0535066",
|
||||
".modelhub_state/recent_outcomes.jsonl": "90c73f011c6f100a1bffdb2b100768813d9127d89581a76bb9911a22d4043822",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "6d41c769f8b34fe2f0f07363af09dad56412f93ca564926a558d41bee54cacd0",
|
||||
".modelhub_state/recovery_intents.jsonl": "6fcd09d3eb095a585837d1506c000d17ca5a9ec05f7f056437dbadcf110fbe1a",
|
||||
".modelhub_state/routing_intelligence.json": "a7d892e1ccda118f72a13ee212ed5aad3be9d65cdbf4c8218d696761745235b0",
|
||||
".modelhub_state/submission_exclusions.jsonl": "a07e1a02840754257cdff556f0bbb75a93364d6fc493705741531a86b71b768e",
|
||||
".modelhub_state/worker_crashes.jsonl": "7fa483580e87374493226e80bcf40bf8044847acba70045c96fa175966a1a8ba",
|
||||
"ledger/submissions.jsonl": "369d50ba323fae299168a3afc0597ce8bc04a737b67af19154a569c0c08db4aa",
|
||||
"outcomes/submissions.jsonl": "e73ee02e18c7cb77e8d2a8a683d96a85963b8bb5e720d1be855002e1480be466"
|
||||
},
|
||||
"generation": 5585,
|
||||
"generation": 5586,
|
||||
"phase": "cycle",
|
||||
"schemaVersion": 1,
|
||||
"updatedAt": "2026-09-11T07:23:29.441866+00:00",
|
||||
"updatedAt": "2026-09-11T07:26:39.019881+00:00",
|
||||
"writerId": "18252d8a8ef94333abd55823b2d81c42"
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user