state: generation 29833 (intent)
This commit is contained in:
@@ -487,7 +487,7 @@
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"taskType": "text-generation"
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}
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},
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"generatedAt": "2026-10-22T18:31:58.912384+00:00",
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"summary": {
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@@ -452,7 +452,7 @@
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}
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"gpuStats": {
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"Ascend_910-b3": {
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"available": true,
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@@ -1,5 +1,5 @@
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{
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"configuredTaskTypes": [
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"text-generation"
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],
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@@ -56,7 +56,7 @@
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"time-series-forecasting"
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],
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"errors": [],
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"gpuCatalog": {
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"Ascend_910-b3": {
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"canVerify": true,
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@@ -6703,6 +6703,6 @@
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"updateTime": "2025-12-22 08:59:53"
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}
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"version": 1
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}
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@@ -1,6 +1,6 @@
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@@ -2656,30 +2656,30 @@
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@@ -3337,28 +3337,28 @@
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@@ -3390,7 +3390,7 @@
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@@ -3727,32 +3727,32 @@
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@@ -21827,6 +21827,29 @@
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},
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@@ -21991,13 +22014,15 @@
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@@ -22005,10 +22030,10 @@
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"Sunrise_pt-200-x1|vllm_fix_tokenizer|text-generation|mini_k3|none": {
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@@ -55340,6 +55365,30 @@
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@@ -55677,6 +55726,30 @@
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"Sunrise_pt-200-x1|vllm_fix_tokenizer|text-generation|llama|none|30": {
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"warnings": [
|
||||
"GPU Vastai_va16 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 Kunlunxin_p-800 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。",
|
||||
@@ -60770,6 +60842,7 @@
|
||||
"GPU Iluvatar_mrv-100 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-x8 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 Mthreads_s4000 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"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。",
|
||||
"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。",
|
||||
@@ -60786,7 +60859,9 @@
|
||||
"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。",
|
||||
"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。",
|
||||
"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。",
|
||||
"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。",
|
||||
"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。",
|
||||
@@ -60811,12 +60886,10 @@
|
||||
"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 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。"
|
||||
"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。"
|
||||
]
|
||||
},
|
||||
"storageMode": "decision_state_only",
|
||||
"summarizedRecords": 18516,
|
||||
"summarizedRecords": 18518,
|
||||
"version": 1
|
||||
}
|
||||
|
||||
@@ -3724,6 +3724,18 @@
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|
||||
{"batchId": "9189f5c453744760bed1aee56b9287af", "completedAt": "2026-10-22T17:55:09.184730+00:00", "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configSource": "modelhub_live", "createdAt": "2026-10-22T17:54:54.518409+00:00", "framework": "vllm_tokenizer_patch", "intentId": "7a8400d2c4324158b95b9588d83fae2b", "lastModified": "2026-10-22T01:37:07+00:00", "modelAddress": "https://modelscope.cn/models/RecursiveSI/flint-int4", "reason": null, "reconciledAt": "2026-10-22T18:32:16.388715+00:00", "repoId": "RecursiveSI/flint-int4", "safeConfigVector": {"gpuNum": 1}, "status": "recovered_active", "targetGpu": "Ascend_910-b4", "taskId": "5722884", "taskType": "text-generation"}
|
||||
{"batchId": "9189f5c453744760bed1aee56b9287af", "completedAt": "2026-10-22T17:55:09.184737+00:00", "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configSource": "modelhub_live", "createdAt": "2026-10-22T17:54:54.518512+00:00", "framework": "vllm_tokenizer_patch", "intentId": "2943bc61f2714655a726db5ad1db11f8", "lastModified": "2026-10-21T16:19:53+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/DASD-30B-A3B-Thinking-Preview-AWQ-4bit", "reason": null, "reconciledAt": "2026-10-22T18:32:16.388987+00:00", "repoId": "cyankiwi/DASD-30B-A3B-Thinking-Preview-AWQ-4bit", "safeConfigVector": {"gpuNum": 1}, "status": "recovered_active", "targetGpu": "Ascend_910-b4", "taskId": "5722886", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "705b8b3614c86a1ac722c97f43e177e84ca20282e9799fffb1b890510d641728", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696059+00:00", "framework": "llamacpp", "intentId": "db4d9f9eeb9a43948dbf610aa7b95800", "lastModified": "2026-10-21T18:16:46+00:00", "modelAddress": "https://modelscope.cn/models/AtomicChat/Qwen3.5-9B-DFlash-GGUF", "repoId": "AtomicChat/Qwen3.5-9B-DFlash-GGUF", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Ascend_910-b4", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696193+00:00", "framework": "vllm_tokenizer_patch", "intentId": "4529bebc6411484998bb1ed84b641e70", "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": {"gpuNum": 1}, "status": "pending", "targetGpu": "Ascend_910-b4", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696249+00:00", "framework": "vllm_tokenizer_patch", "intentId": "4e157fdc8aa74119af4a29b40241df7d", "lastModified": "2026-10-21T16:58:14+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/KAT-Dev-AWQ-4bit", "repoId": "cyankiwi/KAT-Dev-AWQ-4bit", "safeConfigVector": {"gpuNum": 1}, "status": "pending", "targetGpu": "Ascend_910-b4", "taskType": "text-generation"}
|
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{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696300+00:00", "framework": "vllm_tokenizer_patch", "intentId": "62a01ac1a65642a9a10537eb29ceee6b", "lastModified": "2026-10-21T16:41:10+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/Nemotron-Cascade-8B-Thinking-AWQ-4bit", "repoId": "cyankiwi/Nemotron-Cascade-8B-Thinking-AWQ-4bit", "safeConfigVector": {"gpuNum": 1}, "status": "pending", "targetGpu": "Ascend_910-b4", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696351+00:00", "framework": "vllm_tokenizer_patch", "intentId": "0bf2927cd4af492c87936639c17ac16e", "lastModified": "2026-10-22T13:57:14+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/LFM2.5-8B-A1B-AWQ-INT4", "repoId": "cyankiwi/LFM2.5-8B-A1B-AWQ-INT4", "safeConfigVector": {"gpuNum": 1}, "status": "pending", "targetGpu": "Ascend_910-b4", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696400+00:00", "framework": "vllm_fix_tokenizer", "intentId": "e818bf4f664641f89e7e904cbba2a379", "lastModified": "2026-10-21T19:51:23+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/NVIDIA-Nemotron-3-Super-120B-A12B-AWQ-4bit", "repoId": "cyankiwi/NVIDIA-Nemotron-3-Super-120B-A12B-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Kunlunxin_p-800", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696443+00:00", "framework": "vllm_fix_tokenizer", "intentId": "b7554fc4cc704cefa2fe26b63e8e30fe", "lastModified": "2026-10-21T17:12:30+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/MiniMax-M2.5-REAP-139B-A10B-AWQ-4bit", "repoId": "cyankiwi/MiniMax-M2.5-REAP-139B-A10B-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Kunlunxin_p-800", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696486+00:00", "framework": "vllm_fix_tokenizer", "intentId": "273a0feb6d9942399b8194cf3c30ca77", "lastModified": "2026-10-21T17:03:19+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/MiniCPM-SALA-AWQ-4bit", "repoId": "cyankiwi/MiniCPM-SALA-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Kunlunxin_p-800", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696528+00:00", "framework": "vllm_fix_tokenizer", "intentId": "33bb8c65ac164b7db812ad64e3e9c583", "lastModified": "2026-10-22T14:14:09+00:00", "modelAddress": "https://modelscope.cn/models/InternScience/Sage-A1.5-FP8", "repoId": "InternScience/Sage-A1.5-FP8", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Kunlunxin_p-800", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696570+00:00", "framework": "vllm_fix_tokenizer", "intentId": "2e6a46ee25e3464a85e4f31c8178ef5c", "lastModified": "2026-10-21T17:18:20+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/MiroThinker-v1.5-30B-AWQ-8bit", "repoId": "cyankiwi/MiroThinker-v1.5-30B-AWQ-8bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Kunlunxin_p-800", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696612+00:00", "framework": "vllm_fix_tokenizer", "intentId": "c02c8a93a4ed4d419e396b0b3a1dbfa8", "lastModified": "2026-10-22T14:13:07+00:00", "modelAddress": "https://modelscope.cn/models/InternScience/Sage-A1.5", "repoId": "InternScience/Sage-A1.5", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Kunlunxin_p-800", "taskType": "text-generation"}
|
||||
{"batchId": "47be9a9652294678b13644a8d5d8d630", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:33:49.696654+00:00", "framework": "vllm_fix_tokenizer", "intentId": "bee56a53ef71417a9fbe633c00b158b8", "lastModified": "2026-10-21T16:25:01+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/MiniMax-M2.1-REAP-139B-A10B-AWQ-4bit", "repoId": "cyankiwi/MiniMax-M2.1-REAP-139B-A10B-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Kunlunxin_p-800", "taskType": "text-generation"}
|
||||
{"batchId": "0c9fc1fd37e24346b9030862c67bfc27", "completedAt": "2026-10-22T18:32:09.982061+00:00", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:32:06.986982+00:00", "framework": "vllm_fix_tokenizer", "intentId": "5fa6b3f5a55548aaa378f16a4245ef01", "repoId": "cyankiwi/MiniMax-M2.1-REAP-139B-A10B-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "capacity_deferred", "targetGpu": "Kunlunxin_p-800", "taskId": null, "taskType": "text-generation"}
|
||||
{"batchId": "0c9fc1fd37e24346b9030862c67bfc27", "completedAt": "2026-10-22T18:32:09.982058+00:00", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:32:06.986940+00:00", "framework": "vllm_fix_tokenizer", "intentId": "7c78b87c16da4bdb80b9efc0420cf5d3", "repoId": "InternScience/Sage-A1.5", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "capacity_deferred", "targetGpu": "Kunlunxin_p-800", "taskId": null, "taskType": "text-generation"}
|
||||
{"batchId": "0c9fc1fd37e24346b9030862c67bfc27", "completedAt": "2026-10-22T18:32:09.982056+00:00", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:32:06.986897+00:00", "framework": "vllm_fix_tokenizer", "intentId": "f3c7a211c2d24c509d78cefa0397410d", "repoId": "cyankiwi/MiroThinker-v1.5-30B-AWQ-8bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "capacity_deferred", "targetGpu": "Kunlunxin_p-800", "taskId": null, "taskType": "text-generation"}
|
||||
|
||||
Reference in New Issue
Block a user