state: generation 29929 (intent)
This commit is contained in:
@@ -487,7 +487,7 @@
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"taskType": "text-generation"
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@@ -1,5 +1,5 @@
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@@ -452,7 +452,7 @@
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@@ -1,5 +1,5 @@
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@@ -56,7 +56,7 @@
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"time-series-forecasting"
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@@ -6578,6 +6578,6 @@
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@@ -1,6 +1,6 @@
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@@ -1063,29 +1063,29 @@
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@@ -3266,27 +3266,27 @@
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@@ -3390,7 +3390,7 @@
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@@ -3479,15 +3479,15 @@
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@@ -3497,14 +3497,14 @@
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@@ -9863,16 +9863,16 @@
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@@ -9884,7 +9884,7 @@
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@@ -37608,15 +37608,15 @@
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@@ -37629,7 +37629,7 @@
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"warnings": [
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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。",
|
||||
"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。",
|
||||
@@ -60936,7 +60937,6 @@
|
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"GPU Iluvatar_mrv-100 本地统计失败率偏高（≥50%），建议重点关注。",
|
||||
"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。",
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@@ -60953,9 +60953,7 @@
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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。",
|
||||
"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。",
|
||||
@@ -60980,10 +60978,12 @@
|
||||
"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": "ab24f32d37f04b8088f696fff1df1938", "configFingerprint": "36ec94e289a8da5fd70b98a2f401fc5159740daf9e2a076da4fd490f34bcbc0b", "configSource": "modelhub_live", "createdAt": "2026-10-22T19:30:37.317828+00:00", "framework": "vllm-mlu", "intentId": "6430fa636956473393dcf03e6d61223b", "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": "ab24f32d37f04b8088f696fff1df1938", "configFingerprint": "cbe5569cdb6c42553436b837dd5b8f0cfa03334642a56f4ff0137f952f8eb84b", "configSource": "modelhub_live", "createdAt": "2026-10-22T19:30:37.317922+00:00", "framework": "vllm_fix_tokenizer", "intentId": "2a4c6bd2761849a1b281b6447234a529", "lastModified": "2026-10-21T16:41:42+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/Qwen3-30B-A3B-Instruct-2507-AWQ-4bit", "repoId": "cyankiwi/Qwen3-30B-A3B-Instruct-2507-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Vastai_va16", "taskType": "text-generation"}
|
||||
{"batchId": "ab24f32d37f04b8088f696fff1df1938", "configFingerprint": "cbe5569cdb6c42553436b837dd5b8f0cfa03334642a56f4ff0137f952f8eb84b", "configSource": "modelhub_live", "createdAt": "2026-10-22T19:30:37.317976+00:00", "framework": "vllm_fix_tokenizer", "intentId": "f102c20724b247e0b75c73860f86ddf3", "lastModified": "2026-10-21T17:13:13+00:00", "modelAddress": "https://modelscope.cn/models/cyankiwi/OmniCoder-9B-AWQ-4bit", "repoId": "cyankiwi/OmniCoder-9B-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "pending", "targetGpu": "Vastai_va16", "taskType": "text-generation"}
|
||||
{"batchId": "4c87c028a47e442a9f81b98bb832f2ab", "completedAt": "2026-10-22T19:28:57.035636+00:00", "configFingerprint": "cbe5569cdb6c42553436b837dd5b8f0cfa03334642a56f4ff0137f952f8eb84b", "configSource": "modelhub_live", "createdAt": "2026-10-22T19:28:52.518175+00:00", "framework": "vllm_fix_tokenizer", "intentId": "988aa11507714366956a821fdb7899f6", "repoId": "cyankiwi/OmniCoder-9B-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "capacity_deferred", "targetGpu": "Vastai_va16", "taskId": null, "taskType": "text-generation"}
|
||||
{"batchId": "4c87c028a47e442a9f81b98bb832f2ab", "completedAt": "2026-10-22T19:28:57.035634+00:00", "configFingerprint": "cbe5569cdb6c42553436b837dd5b8f0cfa03334642a56f4ff0137f952f8eb84b", "configSource": "modelhub_live", "createdAt": "2026-10-22T19:28:52.518132+00:00", "framework": "vllm_fix_tokenizer", "intentId": "01ae52e6bde1412bab1948eb61ac4ab2", "repoId": "cyankiwi/Qwen3-30B-A3B-Instruct-2507-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "capacity_deferred", "targetGpu": "Vastai_va16", "taskId": null, "taskType": "text-generation"}
|
||||
{"batchId": "4c87c028a47e442a9f81b98bb832f2ab", "completedAt": "2026-10-22T19:28:57.035632+00:00", "configFingerprint": "cbe5569cdb6c42553436b837dd5b8f0cfa03334642a56f4ff0137f952f8eb84b", "configSource": "modelhub_live", "createdAt": "2026-10-22T19:28:52.518088+00:00", "framework": "vllm_fix_tokenizer", "intentId": "094ab86247d84e37a61c0403cce33054", "repoId": "cyankiwi/GLM-4.7-Flash-AWQ-4bit", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "capacity_deferred", "targetGpu": "Vastai_va16", "taskId": null, "taskType": "text-generation"}
|
||||
|
||||
@@ -2,24 +2,24 @@
|
||||
"agentVersion": "2026.09.04.4",
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||||
"checksums": {
|
||||
".modelhub_state/account_capacity.json": "9d9b17fdc7f07551ec36ed0e92fdb688b67e0688cc1fa6874d5681bd1be55957",
|
||||
".modelhub_state/architecture_compatibility_blacklist.json": "702fb7b8b9e886ce453ba43af68ea3bc2f84c17119444c4a74a18e645e985c34",
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||||
".modelhub_state/architecture_compatibility_blacklist.json": "4176465eebe254f7b1e6ceb1869d4586c8c66786cf19b3e8d7aca9ececabd40d",
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||||
".modelhub_state/architecture_history_backfill.json": "a92348206605da04f75c9e26e7c818b76f259e0b28983f18b6375ef94802f0ab",
|
||||
".modelhub_state/market_intelligence.json": "58db18bdce5d079ca70a6ee9f665470334a658bede41f105749d817aeb2abb50",
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||||
".modelhub_state/official_capabilities.json": "9d19258c2acb58eb9d1d5fbdce4984170aab1be481325fb468c82b2809e95776",
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||||
".modelhub_state/outcome_checkpoint.json": "cfea3c5e7c08049b5d2f789dc246333730dc4003caaa50c6c67ef201f1eed9fc",
|
||||
".modelhub_state/market_intelligence.json": "bc06e1a37c59912406f3446758e7fbfc7919a5e1e7dab3cfb1d75b2fd942364d",
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||||
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||||
".modelhub_state/queue_cleanup_latest.json": "8334310d4dead516bef55821a2fcd0ee22b747cd886dc6d77a07cf9c439bb3f9",
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||||
".modelhub_state/recent_outcomes.jsonl": "af80b03c1147019d447a3a33c5bbb83a8733c09983c2a9478b8d3b01bb7a779f",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "b631ee7bee293d49f563564c4be3c23ae8acbf83fa9928421c1f10abae4505c3",
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||||
".modelhub_state/recovery_intents.jsonl": "45af092383f2586c374e18feaf39428b3f7077304b060aa459eeabcdfe510994",
|
||||
".modelhub_state/recovery_intents.jsonl": "c62d5e25440b0e70b92f4f138dd72e763ababa13a6c9bc4b3e420cfecadcc95c",
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||||
".modelhub_state/routing_intelligence.json": "b5b15f263769000e45f63e3c9391bf988bd73ea8105307635e2a815660d0cbc0",
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||||
".modelhub_state/submission_exclusions.jsonl": "e2677e09d968a0c44c65d7c030b9c8ea2c9d39dc378ce302c2a309ab54d600d9",
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||||
".modelhub_state/worker_crashes.jsonl": "50e3ab320d986c635b0d4cb9b1de107b33f9ab8864ff5aa9ca00e1b4af9f30cc",
|
||||
"ledger/submissions.jsonl": "4fc2858275362b026ea68142f6598e23018be3b6cd7a040c440454ac3a8301ad",
|
||||
"outcomes/submissions.jsonl": "1a683909b5abcf64a22b8944e3929514cc7972d9901eecc986ae274924da01aa"
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||||
"outcomes/submissions.jsonl": "514713e1d19507ae8a68a1a2ce5e8d8815e0139abf378cd7ee63aac3518be1b2"
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||||
},
|
||||
"generation": 29928,
|
||||
"phase": "cycle",
|
||||
"generation": 29929,
|
||||
"phase": "intent",
|
||||
"schemaVersion": 1,
|
||||
"updatedAt": "2026-10-22T19:29:04.742359+00:00",
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||||
"updatedAt": "2026-10-22T19:30:37.527350+00:00",
|
||||
"writerId": "a94e2cbdfb3d4160878859cdc87771b0"
|
||||
}
|
||||
|
||||
@@ -174,7 +174,6 @@
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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": "2026-09-24T14:06:39.057071+00:00", "modelId": "groxaxo/Hemmingway-1-AutoRound-W4G128", "modelProfile": {"architectures": ["Qwen3_5ForCausalLM"], "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 18626278816, "estimatedRequiredGiB": 20.839, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5_text", "modelscopeFileSize": null, "modelscopeLicense": "apache-2.0", "modelscopeParams": 1696097792, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5_text", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:quantized", "custom_tag:auto-round", "custom_tag:awq", "custom_tag:qwen3.5"], "modelscopeTasks": ["text-generation"], "quantizationMethod": "auto-round", "repositoryOnDiskBytes": 18646443738}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-24T06:05:15.403300+00:00", "targetGpu": "Ascend_910-b4", "taskId": "5054597", "taskType": "text-generation", "verifyResult": null}
|
||||
{"failReason": null, "framework": "vllm-mlu", "lastSyncTime": "2026-09-24T14:06:39.057047+00:00", "modelId": "Youssofal/MiMo-V2.6-Qwen-9B-MTPLX-Optimized-Speed", "modelProfile": {"architectures": ["Qwen3_5ForConditionalGeneration"], "configFingerprint": "36ec94e289a8da5fd70b98a2f401fc5159740daf9e2a076da4fd490f34bcbc0b", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 8674987255, "estimatedRequiredGiB": 9.718, "gpuMemoryEvidence": {"memoryGiB": 24.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 24.0, "maximumRepositorySizeGiB": 20.0, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5", "modelscopeFileSize": null, "modelscopeLicense": "mit", "modelscopeParams": null, "modelscopeTags": ["license:mit", "model_type:qwen3_5", "library:mlx", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:mlx", "custom_tag:apple-silicon", "custom_tag:macos", "custom_tag:speculative-decoding", "custom_tag:multi-token-prediction", "custom_tag:mtp", "custom_tag:mtplx", "custom_tag:local-ai", "custom_tag:local-llm", "custom_tag:llm", "custom_tag:coding", "custom_tag:agentic", "custom_tag:mimo", "custom_tag:xiaomi", "custom_tag:qwen3.5", "custom_tag:qwen3-5", "custom_tag:9b", "custom_tag:6-bit", "custom_tag:m5", "custom_tag:m5-max", "custom_tag:m4", "custom_tag:m3", "custom_tag:macbook-air", "custom_tag:macbook-pro", "custom_tag:mac-mini", "custom_tag:opencode", "custom_tag:claude-code"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 8695114401}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-24T06:05:15.443994+00:00", "targetGpu": "Cambricon_mlu-370-x4", "taskId": "5054596", "taskType": "text-generation", "verifyResult": null}
|
||||
{"failReason": null, "framework": "vllm-mlu", "lastSyncTime": "2026-09-24T14:24:00.455827+00:00", "modelId": "groxaxo/Hemmingway-1-AutoRound-W4G128", "modelProfile": {"architectures": ["Qwen3_5ForCausalLM"], "configFingerprint": "36ec94e289a8da5fd70b98a2f401fc5159740daf9e2a076da4fd490f34bcbc0b", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 18626278816, "estimatedRequiredGiB": 20.839, "gpuMemoryEvidence": {"memoryGiB": 24.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 24.0, "maximumRepositorySizeGiB": 20.0, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5_text", "modelscopeFileSize": 18646443738, "modelscopeLicense": "apache-2.0", "modelscopeParams": 1696097792, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5_text", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:quantized", "custom_tag:auto-round", "custom_tag:awq", "custom_tag:qwen3.5"], "modelscopeTasks": ["text-generation"], "quantizationMethod": "auto-round", "repositoryOnDiskBytes": 18646443738}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-24T06:21:33.668586+00:00", "targetGpu": "Cambricon_mlu-370-x4", "taskId": "5054819", "taskType": "text-generation", "verifyResult": null}
|
||||
|
||||
Reference in New Issue
Block a user