state: generation 30088 (intent)
This commit is contained in:
@@ -487,7 +487,7 @@
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"taskType": "text-generation"
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@@ -452,7 +452,7 @@
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File diff suppressed because it is too large
Load Diff
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@@ -2075,28 +2075,28 @@
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@@ -3213,17 +3213,17 @@
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@@ -3232,14 +3232,14 @@
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@@ -3607,14 +3607,14 @@
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@@ -16114,6 +16114,29 @@
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@@ -46726,6 +46749,30 @@
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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 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 Kunlunxin_p-800 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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@@ -60960,7 +61008,6 @@
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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 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-x8 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 Mthreads_s4000 本地统计失败率偏高（≥50%），建议重点关注。",
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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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"组合 Mthreads_s4000|llamacpp|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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@@ -60977,9 +61024,7 @@
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"组合 Iluvatar_mrv-100|unknown|visual-multi-modal 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_fix_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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"组合 Kunlunxin_p-800|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-customized|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 Sunrise_pt-200-x1|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|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 Iluvatar_bi-150|llamacpp|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_mrv-100|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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@@ -61004,10 +61049,12 @@
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"组合 Cambricon_mlu-370-x8|vllm-mlu|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|vllm-mlu|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 Iluvatar_bi-150|vllm_fix_tokenizer|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_fix_tokenizer|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|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-x8|vllm-customized|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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|
||||
{"batchId": "55d2a54c7d404c7a8a8a2134fe60b15c", "configFingerprint": "36ec94e289a8da5fd70b98a2f401fc5159740daf9e2a076da4fd490f34bcbc0b", "configSource": "modelhub_live", "createdAt": "2026-10-22T21:04:31.503254+00:00", "framework": "vllm-mlu", "intentId": "e1d352ea7e34463c8f09480a2c34e78e", "lastModified": "2026-10-21T16:49:53+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/Olmo-3.1-32B-Think-AWQ-4bit", "repoId": "cyankiwi/Olmo-3.1-32B-Think-AWQ-4bit", "safeConfigVector": {"dtype": "-", "gpuNum": 1}, "status": "pending", "targetGpu": "Cambricon_mlu-370-x4", "taskType": "text-generation"}
|
||||
{"batchId": "55d2a54c7d404c7a8a8a2134fe60b15c", "configFingerprint": "36ec94e289a8da5fd70b98a2f401fc5159740daf9e2a076da4fd490f34bcbc0b", "configSource": "modelhub_live", "createdAt": "2026-10-22T21:04:31.503303+00:00", "framework": "vllm-mlu", "intentId": "30a5fc76ff9d4c4abdc3fb4fafa5e33f", "lastModified": "2026-10-21T17:02:31+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/Nemotron-Cascade-8B-AWQ-4bit", "repoId": "cyankiwi/Nemotron-Cascade-8B-AWQ-4bit", "safeConfigVector": {"dtype": "-", "gpuNum": 1}, "status": "pending", "targetGpu": "Cambricon_mlu-370-x4", "taskType": "text-generation"}
|
||||
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|
||||
{"batchId": "f99c86fbe99f4865801b01a42a8aeb31", "completedAt": "2026-10-22T21:02:49.049534+00:00", "configFingerprint": "36ec94e289a8da5fd70b98a2f401fc5159740daf9e2a076da4fd490f34bcbc0b", "configSource": "modelhub_live", "createdAt": "2026-10-22T21:02:45.339456+00:00", "framework": "vllm-mlu", "intentId": "15d67824fdfd44daa07bbe2754accc9f", "repoId": "cyankiwi/Olmo-3.1-32B-Think-AWQ-4bit", "safeConfigVector": {"dtype": "-", "gpuNum": 1}, "status": "capacity_deferred", "targetGpu": "Cambricon_mlu-370-x4", "taskId": null, "taskType": "text-generation"}
|
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{"batchId": "f99c86fbe99f4865801b01a42a8aeb31", "completedAt": "2026-10-22T21:02:49.049531+00:00", "configFingerprint": "36ec94e289a8da5fd70b98a2f401fc5159740daf9e2a076da4fd490f34bcbc0b", "configSource": "modelhub_live", "createdAt": "2026-10-22T21:02:45.339407+00:00", "framework": "vllm-mlu", "intentId": "412e01715f2a4d8fbeaa939f6e2be856", "repoId": "cyankiwi/ERNIE-4.5-21B-A3B-Thinking-AWQ-4bit", "safeConfigVector": {"dtype": "-", "gpuNum": 1}, "status": "capacity_deferred", "targetGpu": "Cambricon_mlu-370-x4", "taskId": null, "taskType": "text-generation"}
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||||
|
||||
@@ -2,24 +2,24 @@
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||||
"agentVersion": "2026.09.04.4",
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"checksums": {
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||||
".modelhub_state/account_capacity.json": "d34274b13c4f245b374dc6796be576d276e56fd1ef7a37e423d73df308d61531",
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".modelhub_state/architecture_compatibility_blacklist.json": "bb672ab5feac381eb2153670283f34f24a8a60631dda0ba99bde57b706e20f24",
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".modelhub_state/architecture_compatibility_blacklist.json": "d75f0f345f93384dc864446fee1371d6e83153bb7ea61b29d83d724ce969a0c4",
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".modelhub_state/architecture_history_backfill.json": "a92348206605da04f75c9e26e7c818b76f259e0b28983f18b6375ef94802f0ab",
|
||||
".modelhub_state/market_intelligence.json": "75bf17b16a28030c37bad96e2245268e16db4188f0749051316336fa94c302cf",
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".modelhub_state/official_capabilities.json": "a9ad17a06cdc793bd96346962fbbecd3a279b8ac12681873078c01f23d8435ae",
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".modelhub_state/recent_outcomes.jsonl": "af80b03c1147019d447a3a33c5bbb83a8733c09983c2a9478b8d3b01bb7a779f",
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".modelhub_state/recovery_active_tasks.jsonl": "1c7406b552ac8d85869036120fa99eb77b6176a02becf7a1b88a0248708400b4",
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".modelhub_state/recovery_intents.jsonl": "6921bde043809b68fc1336975b0ed5b8726f245ddd049961bf452ce0c29911aa",
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".modelhub_state/recovery_intents.jsonl": "c3f8d7c8f72a5988522615684b356f522be6b2720a82db89c8e142a67d4a2352",
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||||
".modelhub_state/routing_intelligence.json": "6692d87895d976b12ff569cfa418e73fbb304711591979c3cb3ba2f86445f827",
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".modelhub_state/worker_crashes.jsonl": "50e3ab320d986c635b0d4cb9b1de107b33f9ab8864ff5aa9ca00e1b4af9f30cc",
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"ledger/submissions.jsonl": "75058d9dcbd73536cfdc1dca6b376fd788ac11a297d305cdfea88ddebf0cbadf",
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"outcomes/submissions.jsonl": "8c3ae961110c6cd512ccc9b44a583350a8376fa046eea6e59b4c665b468c39ee"
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"outcomes/submissions.jsonl": "c32476a9fadc0c72a2a708c90d6345da2069349acf119297faa6116b217f921b"
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||||
},
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||||
"generation": 30087,
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||||
"phase": "cycle",
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||||
"generation": 30088,
|
||||
"phase": "intent",
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||||
"schemaVersion": 1,
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||||
"updatedAt": "2026-10-22T21:02:56.287116+00:00",
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"updatedAt": "2026-10-22T21:04:31.663320+00:00",
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"writerId": "a94e2cbdfb3d4160878859cdc87771b0"
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}
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||||
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@@ -313,7 +313,6 @@
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||||
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||||
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||||
@@ -1086,7 +1085,7 @@
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||||
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||||
{"failReason": null, "framework": "llamacpp", "lastSyncTime": "2026-10-22T20:46:42.269110+00:00", "modelId": "InternScience/Sage-A1.5-Q8_0-GGUF", "modelProfile": {"architectures": [], "configFingerprint": "6a1e6e554e778bcf41fd30fe0869e8c4a396cf7289db86fcce4b236e83d8b8a8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 37802150112, "estimatedRequiredGiB": 43.253, "gpuMemoryEvidence": {"memoryGiB": 64.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 64.0, "maximumRepositorySizeGiB": 53.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": null, "modelscopeFileSize": 38701689630, "modelscopeLicense": "apache-2.0", "modelscopeParams": 35505251456, "modelscopeTags": ["license:apache-2.0", "library:gguf", "task:text-generation", "custom_tag:gguf", "custom_tag:moe", "custom_tag:vlm", "custom_tag:vision", "custom_tag:agentic", "custom_tag:code", "custom_tag:tool-use", "deploy:swingdeploy"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 38701689630}, "outcome": "pending", "status": "waiting", "submitTime": "2026-10-22T12:45:02.852710+00:00", "targetGpu": "Ascend_910-b3", "taskId": "5717984", "taskType": "text-generation", "verifyResult": null}
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||||
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||||
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||||
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||||
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||||
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||||
{"failReason": null, "framework": "vllm_tokenizer_patch", "lastSyncTime": null, "modelId": "cyankiwi/Trinity-Mini-AWQ-8bit", "modelProfile": {"architectures": ["AfmoeForCausalLM"], "configFingerprint": "8be5b78bdba5c4413c1e4ab91a46e27c34642b25d5dc059ad3a11d50d7e33593", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 28836491616, "estimatedRequiredGiB": 32.248, "gpuMemoryEvidence": {"memoryGiB": 64.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 64.0, "maximumRepositorySizeGiB": 53.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "afmoe", "modelscopeFileSize": 28854576732, "modelscopeLicense": "other", "modelscopeParams": 26123974400, "modelscopeTags": ["license:other", "model_type:afmoe", "library:pytorch", "library:transformer", "library:safetensors", "task:text-generation"], "modelscopeTasks": ["text-generation"], "quantizationMethod": "compressed-tensors", "repositoryOnDiskBytes": 28854576732}, "outcome": "pending", "status": "pending", "submitTime": "2026-10-22T17:54:56.135763+00:00", "targetGpu": "MetaX_c-500", "taskId": "5722885", "taskType": "text-generation", "verifyResult": null}
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||||
|
||||
Reference in New Issue
Block a user