state: generation 5050 (cycle)
This commit is contained in:
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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 MetaX_c-500 本地统计失败率偏高（≥50%），建议重点关注。",
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@@ -6939,7 +6939,7 @@
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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。",
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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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"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 Sunrise_pt-200-x1 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-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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@@ -6960,6 +6960,6 @@
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@@ -297,4 +298,3 @@
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||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/inferencerlabs/DeepSeek-V4-Flash-MTP-DSpark-MLX", "modelId": "inferencerlabs/DeepSeek-V4-Flash-MTP-DSpark-MLX", "submitTime": "2026-09-08T06:46:11.590454+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712813", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/nanbeige/Nanbeige4.2-3B-GPTQ-Int8", "modelId": "nanbeige/Nanbeige4.2-3B-GPTQ-Int8", "submitTime": "2026-09-08T06:46:11.606547+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712821", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/XHToken/Spark-X2.5-4B-FP8", "modelId": "XHToken/Spark-X2.5-4B-FP8", "submitTime": "2026-09-08T06:46:11.792714+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712824", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
@@ -572,6 +571,7 @@
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/CohereLabs/tiny-aya-en-thinker", "modelId": "CohereLabs/tiny-aya-en-thinker", "submitTime": "2026-09-10T07:23:10.180003+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4755805", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/nm-testing/nonuniform", "modelId": "nm-testing/nonuniform", "submitTime": "2026-09-08T06:46:06.780642+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712802", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/RedHatAI/starcoder2-3b-FP8", "modelId": "RedHatAI/starcoder2-3b-FP8", "submitTime": "2026-09-08T06:46:06.808048+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712807", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/RedHatAI/Phi-3-medium-128k-instruct-quantized.w8a8", "modelId": "RedHatAI/Phi-3-medium-128k-instruct-quantized.w8a8", "submitTime": "2026-09-08T06:46:06.810137+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712809", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/RedHatAI/gemma-2-2b-it-quantized.w8a16", "modelId": "RedHatAI/gemma-2-2b-it-quantized.w8a16", "submitTime": "2026-09-08T06:46:11.532675+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712815", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/RedHatAI/gemma-2-9b-it-quantized.w8a16", "modelId": "RedHatAI/gemma-2-9b-it-quantized.w8a16", "submitTime": "2026-09-08T06:46:11.601676+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712820", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
{"framework": "vllm-mlu", "modelAddress": "https://modelscope.cn/models/RWKV/RWKV7-7.2B-20260805", "modelId": "RWKV/RWKV7-7.2B-20260805", "submitTime": "2026-09-08T06:46:11.589203+00:00", "targetGpu": "Cambricon_mlu-370-x8", "taskId": "4712819", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mlu-cambricon-mlu-370-x8"}
|
||||
|
||||
@@ -1,24 +1,24 @@
|
||||
{
|
||||
"agentVersion": "2026.09.04.4",
|
||||
"checksums": {
|
||||
".modelhub_state/architecture_compatibility_blacklist.json": "016ee5a3f8c6563a120f690c31b203224c0a4d4c355b5e88c09a59f9732e927d",
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||||
".modelhub_state/architecture_history_backfill.json": "69efdf5f518f9b77b6f70dcc1830f46934e176e81c7b5e52d7fb09167ae5980f",
|
||||
".modelhub_state/market_intelligence.json": "545bdc115c78cc37caa897c9b967087e7160f54e1be74aa41c75296fb511eda1",
|
||||
".modelhub_state/official_capabilities.json": "02a640bedd4208273a3021c65d2d4c69560ea5a3dc4a8930ca83541189938a87",
|
||||
".modelhub_state/outcome_checkpoint.json": "8becaa0bd8fb6fce7e8dc32a66f7f8d9a9323510566f035911a98c02fd7bd623",
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".modelhub_state/architecture_compatibility_blacklist.json": "749c726a59ab453198867afa7ab64df3f6c64a358ae04689513126052cb1e5ad",
|
||||
".modelhub_state/architecture_history_backfill.json": "a0d8e34cec0c7aec41358a0015021caad311b5f8d885355057ec9c11afc59e45",
|
||||
".modelhub_state/market_intelligence.json": "69aceecd2ff6a4a6c4cbf88c44b8a6eca54bd572927a5f99f6a8130446ca39c6",
|
||||
".modelhub_state/official_capabilities.json": "d363e964e6b7ddd28f78231296474a482b534887925f6c27e61bec74b5a92f26",
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".modelhub_state/outcome_checkpoint.json": "4cb86fc7d5e588c517479df71a814190ecb52b303d8141d838ed4e07c550d806",
|
||||
".modelhub_state/queue_cleanup_latest.json": "b251e2ff52f1e826ed4fc9723e1765d93287b92341cb7f593f01eb5e88982f99",
|
||||
".modelhub_state/recent_outcomes.jsonl": "3718ee3d75347a8064d7de596cfc5fa00b55b2d644f0295ed664d9c491d15d3a",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "ed1203f5ae858a208e0dade09952a965c5b94b38e3621eab337a8482826e42b1",
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||||
".modelhub_state/recovery_intents.jsonl": "5ff258d5812e6b4b975de4e0011e10989d1ab548eb89d4fa66d6d732978bc039",
|
||||
".modelhub_state/recent_outcomes.jsonl": "bfcf9e9826809a4fdb908263410434c0b4285802199616dd05d656397eb47410",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "a9dcefd7e24e19b9cd4bda2a02f099125423ff8d105dec57dc2ac74e1f7521e7",
|
||||
".modelhub_state/recovery_intents.jsonl": "81cb48f147dbd665a26816ea73b4b6593c51fbe83dfd00851b4166202d7d694d",
|
||||
".modelhub_state/routing_intelligence.json": "c3286852fe788ac5b6e6a51d221eeaf9c000146e6ee7c7de72b25fa6df6dc9a0",
|
||||
".modelhub_state/submission_exclusions.jsonl": "b2de1125bf1f3e0597cd50cc30b563a5bfee39459e843767163eb72101cebc03",
|
||||
".modelhub_state/worker_crashes.jsonl": "d1c3f447ce0377ed5e820c2b5ff730d29f84a96af4fd14332b138f78c0ddde76",
|
||||
"ledger/submissions.jsonl": "1efbd57fa41ef102292d2155b6d162f2561671ecfe845d19d73bdfcbd877ae02",
|
||||
"ledger/submissions.jsonl": "25e8ced4aa0c68a013e4eab4b82fb9953e3ec17e77bf877d61250270966f6cd0",
|
||||
"outcomes/submissions.jsonl": "3c13cb6ed6c4b6c6ce7aae4d921686e244aaba544f011a1187acf041e7db6858"
|
||||
},
|
||||
"generation": 5049,
|
||||
"generation": 5050,
|
||||
"phase": "cycle",
|
||||
"schemaVersion": 1,
|
||||
"updatedAt": "2026-09-10T07:28:02.269156+00:00",
|
||||
"updatedAt": "2026-09-10T07:30:48.709682+00:00",
|
||||
"writerId": "58ff5dc2a2d64b119ad1e4560700f977"
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user