state: generation 5119 (cycle)
This commit is contained in:
@@ -1317,7 +1317,7 @@
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File diff suppressed because it is too large
Load Diff
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@@ -2487,15 +2487,15 @@
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@@ -4038,21 +4038,21 @@
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@@ -4246,8 +4245,8 @@
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"warnings": [
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||||
"GPU Cambricon_mlu-370-x8 本地统计失败率偏高（≥50%），建议重点关注。",
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"GPU Ascend_910-b3 本地统计失败率偏高（≥50%），建议重点关注。",
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"GPU Iluvatar_mrv-100 本地统计失败率偏高（≥50%），建议重点关注。",
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||||
"GPU Sunrise_pt-200-x1 本地统计失败率偏高（≥50%），建议重点关注。",
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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 Ascend_910-b4 本地统计失败率偏高（≥50%），建议重点关注。",
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"GPU Vastai_va16 本地统计失败率偏高（≥50%），建议重点关注。",
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"GPU MetaX_c-500 本地统计失败率偏高（≥50%），建议重点关注。",
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@@ -7096,7 +7095,7 @@
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"GPU hygon_k100-ai 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。",
|
||||
"GPU Mthreads_s4000 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 Sunrise_pt-200-x1 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。",
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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 Biren_166m|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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@@ -7117,6 +7116,6 @@
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{"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "unknown", "failureCode": "UNKNOWN", "failureDetectedFramework": "vllm", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "vllm", "lastSyncTime": "2026-09-10T10:21:30.006897+00:00", "modelId": "RedHatAI/Phi-3-medium-128k-instruct-quantized.w8a8", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-10T10:15:21+00:00", "targetGpu": "hygon_k100-ai", "taskId": "4493599", "taskType": "text-generation", "verifyResult": -1}
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{"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "execute_empty_result", "failureCode": "EXECUTE_EMPTY_RESULT", "failureDetectedFramework": "vllm", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "vllm", "lastSyncTime": "2026-09-10T09:47:33.262404+00:00", "modelId": "RedHatAI/starcoder2-3b-FP8", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-10T09:47:22+00:00", "targetGpu": "hygon_k100-ai", "taskId": "4493608", "taskType": "text-generation", "verifyResult": -1}
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@@ -296,5 +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", "failureDetectedFramework": "vllm", "failureDeterministic": true, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": false, "failureScope": "model_gpu_framework", "failureUnsupportedModelTypes": ["qwen3_5_moe"], "framework": "vllm", "lastSyncTime": "2026-09-07T21:05:55.523169+00:00", "modelId": "mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-07T20:53:21+00:00", "targetGpu": "hygon_k100-ai", "taskId": "4482387", "taskType": "text-generation", "verifyResult": -1}
|
||||
{"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "missing_structured_error_code", "failureCode": null, "failureDetectedFramework": "llamacpp", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "llamacpp", "lastSyncTime": "2026-09-07T20:52:41.332062+00:00", "modelId": "kurakurai/Luth-LFM2-700M-GGUF", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-07T20:51:21+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "3987175", "taskType": "text-generation", "verifyResult": -1}
|
||||
{"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "execute_empty_result", "failureCode": "EXECUTE_EMPTY_RESULT", "failureDetectedFramework": "vllm", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "vllm", "lastSyncTime": "2026-09-07T20:52:41.332106+00:00", "modelId": "mlx-community/Qwen3.5-35B-A3B-OptiQ-4bit-REAP-19B", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-07T20:51:21+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "4478705", "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": "b600657780c8f91e46755a418e83fb578c5351a2320f96859fe24ceabd42a2cf",
|
||||
".modelhub_state/architecture_history_backfill.json": "cbb70a8fe39ed0204b5f1137fbe3a26d4cf0622455a8626cb9f706b88ab01e2a",
|
||||
".modelhub_state/market_intelligence.json": "a09ccf4faa55f41bcda0f74b26c548c8611b101dd6cc1f77e2db87c018c86fd7",
|
||||
".modelhub_state/official_capabilities.json": "0ca41b40a8efb7140201618a6a5db67d745cb0026c83bf2da5407e7fd62f192f",
|
||||
".modelhub_state/outcome_checkpoint.json": "7af78e89a4dd04f488fd999ac52e38aa49161f0572a3ad54d3a3d74605587bd6",
|
||||
".modelhub_state/architecture_compatibility_blacklist.json": "5548d472a88f28faae31ad789f46dc8033c655861df290760565af5f4bbb8fd1",
|
||||
".modelhub_state/architecture_history_backfill.json": "a20c113f83c94c618f80421ea33cdfff7815806d6441b10d2cb3084c749a27e3",
|
||||
".modelhub_state/market_intelligence.json": "eb5d9cb8fa877176d08cd23826cdeecec31c71d3a43072a073d06199752ff1f5",
|
||||
".modelhub_state/official_capabilities.json": "1a0e68befae9c47cdde660aea046a4e401d5256d3c96aeef19ebf0932bd868b7",
|
||||
".modelhub_state/outcome_checkpoint.json": "a722ba47ec3aa05af0813e7deeeb8b53520f88a2038968d20c2916b625a0d52c",
|
||||
".modelhub_state/queue_cleanup_latest.json": "b9038630dc67feced29c6931cb43d6d94c28bb175e6dcf80fac9c625a52887d5",
|
||||
".modelhub_state/recent_outcomes.jsonl": "7e513b1abbeafafb1c17473cbc96ead0e018a9df8443cdff0089e819b1cc96b9",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "5da23f2a42cc8bf31c44ff8a2c0124e628c4089a3aa7592db43d8d52254d418c",
|
||||
".modelhub_state/recovery_intents.jsonl": "09a5390b2a09c571ae0ec782dbd2fe997ac569a3ef7b0802e0371c37e0952ae9",
|
||||
".modelhub_state/recent_outcomes.jsonl": "a47e8ee12281bdf186a48cc5b0b5f4ad589c7369be624c3a5c48913f3ade1f06",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "b90b5a960eef125fa548300b56bb26c43e8c5363541ed3c12b7230d60abd4f22",
|
||||
".modelhub_state/recovery_intents.jsonl": "47cb70215e7768cc429a1b3b68dfe0258cb16f1483e4d5eb3f88f614af4f6859",
|
||||
".modelhub_state/routing_intelligence.json": "f36cfaf9f9ff191164b0ce0a73a3ce4bbc3a2dc4589f252d583e33b427807fc0",
|
||||
".modelhub_state/submission_exclusions.jsonl": "b2de1125bf1f3e0597cd50cc30b563a5bfee39459e843767163eb72101cebc03",
|
||||
".modelhub_state/worker_crashes.jsonl": "d1c3f447ce0377ed5e820c2b5ff730d29f84a96af4fd14332b138f78c0ddde76",
|
||||
"ledger/submissions.jsonl": "76cbabbced897a94b01593ff4cb86c58b9b0394b6c8fa89dd11a295e4678f70f",
|
||||
"outcomes/submissions.jsonl": "7e7dceeb82e33a52f232d56ceba319292e0b24b25bc8ec08e03fa95367ce1163"
|
||||
},
|
||||
"generation": 5118,
|
||||
"generation": 5119,
|
||||
"phase": "cycle",
|
||||
"schemaVersion": 1,
|
||||
"updatedAt": "2026-09-10T10:29:01.878018+00:00",
|
||||
"updatedAt": "2026-09-10T10:32:05.635331+00:00",
|
||||
"writerId": "58ff5dc2a2d64b119ad1e4560700f977"
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user