state: generation 5711 (cycle)
This commit is contained in:
@@ -1307,7 +1307,7 @@
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"GPU Iluvatar_bi-150 本地统计失败率偏高(≥50%),建议重点关注。",
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"GPU Cambricon_mlu-370-x4 本地统计失败率偏高(≥50%),建议重点关注。",
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"GPU Ascend_910-b4 本地统计失败率偏高(≥50%),建议重点关注。",
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||||
"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。",
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"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。",
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"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。",
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"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。",
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"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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@@ -6995,11 +6996,10 @@
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"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。",
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"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。",
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"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。",
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"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。",
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||||
"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": "model_load", "failureAction": "inspect_root_exception_then_llm_if_unknown", "failureCategory": "model_load", "failureClassificationReason": "broad_load_error", "failureCode": "MODEL_LOAD_FAILED", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "model_gpu_framework", "framework": "", "lastSyncTime": "2026-09-08T10:00:15.603861+00:00", "modelId": "RedHatAI/starcoder2-7b-quantized.w8a16", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-08T09:57:21+00:00", "targetGpu": "Iluvatar_mrv-100", "taskId": "4080861", "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", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "model_gpu_framework", "framework": "", "lastSyncTime": "2026-09-08T10:00:15.603853+00:00", "modelId": "neuralmagic/Llama-3.2-1B-Instruct-FP8", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-08T09:43:21+00:00", "targetGpu": "Iluvatar_mrv-100", "taskId": "4268342", "taskType": "text-generation", "verifyResult": -1}
|
||||
|
||||
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": "bff9800d29ba000edecb268fb53c5257227d53d5500eecd0cb3a1867e4e0c136",
|
||||
".modelhub_state/architecture_history_backfill.json": "1abc64ee5553b0ce2e5df7f7daa31b647578b3ad01404ffc5917d785245c5907",
|
||||
".modelhub_state/market_intelligence.json": "bd4a2f6bb1343c53a8ecedd226fc8b455ebcd363de467bf88d6e22ed851addaf",
|
||||
".modelhub_state/official_capabilities.json": "86a7722fb207c4db74975f84535698e64b2edcd0c9e85436dfff7c9359ca7217",
|
||||
".modelhub_state/outcome_checkpoint.json": "977810ce19fd052161ef4a2a1efef0d76aedd19ea0da9c9024fd420fb88b7152",
|
||||
".modelhub_state/architecture_compatibility_blacklist.json": "681e6af87b082c1dcb3c319af1d952d022e3a84a068a082fc9b42acc02c37152",
|
||||
".modelhub_state/architecture_history_backfill.json": "574338e30f5de39ba0352ad81b0d503db8f308e55f8de09de3d1899ee9488421",
|
||||
".modelhub_state/market_intelligence.json": "8a1f933b22d13f3bbfa7af28030b92250933b4f0999b8a87ab515ba45c0973f7",
|
||||
".modelhub_state/official_capabilities.json": "73de7706ef6e050005a5ab85c545e4822683446aa1ff49ed6fda214306a4f513",
|
||||
".modelhub_state/outcome_checkpoint.json": "92e680a3284f3a1148e6c15ce586f10c315dcce41fcda4c30e74affada398dab",
|
||||
".modelhub_state/queue_cleanup_latest.json": "9092a0b045d21453d0210c81bf56fa209d341915359e8357a6e260c821f48c9b",
|
||||
".modelhub_state/recent_outcomes.jsonl": "f11a53d4b90ec23ba00e975f7de4a6bb40a6de18daa4a39dda008cdda5a42e3a",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "17111fd5f71e25467753e6bf32b30297f5e39ab1b1ab32e11b8f91364f41da66",
|
||||
".modelhub_state/recovery_intents.jsonl": "1bf7f6e92cd71b75268e78f41730f538857bd5d3890eb9ed9a81a38d355c123e",
|
||||
".modelhub_state/recent_outcomes.jsonl": "1c2d83489cc5f37e7b2ad8f3d8099d5e0d1bcf2813f1db347bf27119a70f057f",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "31f9d0767eca2882a08d22f2ac51e3a6aea66fee896384ad86f54ca1fa4c6e8b",
|
||||
".modelhub_state/recovery_intents.jsonl": "5853868e32ce707fcf5a78a52bdfe7a53ce9ee678d013f1868f77e36653d183d",
|
||||
".modelhub_state/routing_intelligence.json": "01755a7ae15e8408cf0586a62b0684ec4e7e2d46c2715b9b2bfe968c7d40353e",
|
||||
".modelhub_state/submission_exclusions.jsonl": "3790b5c148f222a4de26d50a3d8afc58891c8da251a82d20dbaf4fc35e6dbd89",
|
||||
".modelhub_state/worker_crashes.jsonl": "7fa483580e87374493226e80bcf40bf8044847acba70045c96fa175966a1a8ba",
|
||||
"ledger/submissions.jsonl": "0f2922a5f34c5777fcbb7e7ea1512bd1784eed2b74f5d6c3f05103cb3bbea37e",
|
||||
"outcomes/submissions.jsonl": "9b436339a59d073250c1f14e08f71c1148a29e5b3db2301e39b71ed36893e02b"
|
||||
},
|
||||
"generation": 5710,
|
||||
"generation": 5711,
|
||||
"phase": "cycle",
|
||||
"schemaVersion": 1,
|
||||
"updatedAt": "2026-09-11T13:45:05.990594+00:00",
|
||||
"updatedAt": "2026-09-11T13:47:57.566021+00:00",
|
||||
"writerId": "18252d8a8ef94333abd55823b2d81c42"
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user