state: generation 29839 (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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@@ -452,7 +452,7 @@
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@@ -1,5 +1,5 @@
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"configuredTaskTypes": [
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@@ -56,7 +56,7 @@
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"time-series-forecasting"
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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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"version": 1
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@@ -1,6 +1,6 @@
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@@ -2656,20 +2656,20 @@
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@@ -2679,7 +2679,7 @@
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@@ -3337,10 +3337,10 @@
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@@ -3348,17 +3348,17 @@
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@@ -3390,7 +3390,7 @@
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@@ -3727,10 +3727,10 @@
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@@ -3741,18 +3741,18 @@
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@@ -21966,6 +21966,29 @@
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@@ -55534,6 +55557,30 @@
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@@ -60795,13 +60842,13 @@
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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。",
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||||
@@ -60842,7 +60890,6 @@
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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。",
|
||||
"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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@@ -60859,9 +60906,7 @@
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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。",
|
||||
@@ -60886,10 +60931,12 @@
|
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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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@@ -3724,6 +3724,18 @@
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|
||||
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||||
{"batchId": "fab060573feb4fe384c78f7fdb6fc5ff", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:37:15.274998+00:00", "framework": "vllm_fix_tokenizer", "intentId": "1fffaa13a0194d59b4662043453cf1c5", "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": "fab060573feb4fe384c78f7fdb6fc5ff", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:37:15.275111+00:00", "framework": "vllm_fix_tokenizer", "intentId": "281a853f2bbe44f9bbea9f732114f447", "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": "fab060573feb4fe384c78f7fdb6fc5ff", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:37:15.275200+00:00", "framework": "vllm_fix_tokenizer", "intentId": "e49b4ba2c1564e249751ffb13ccd5c48", "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": "fab060573feb4fe384c78f7fdb6fc5ff", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:37:15.275278+00:00", "framework": "vllm_fix_tokenizer", "intentId": "0cb394fa238040edae6f9fd120f25af5", "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": "fab060573feb4fe384c78f7fdb6fc5ff", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:37:15.275355+00:00", "framework": "vllm_fix_tokenizer", "intentId": "951298e8961e40849cabc5d336028fb0", "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": "fab060573feb4fe384c78f7fdb6fc5ff", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:37:15.275431+00:00", "framework": "vllm_fix_tokenizer", "intentId": "e240b68b34c946bc9d48570e329fa2f8", "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": "dce6d40ddb494dbd988aa73eed529630", "completedAt": "2026-10-22T18:35:34.769612+00:00", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:35:32.068572+00:00", "framework": "vllm_fix_tokenizer", "intentId": "d9192afcba0e4ff5bfe1481e0811075d", "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": "dce6d40ddb494dbd988aa73eed529630", "completedAt": "2026-10-22T18:35:34.769609+00:00", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:35:32.068529+00:00", "framework": "vllm_fix_tokenizer", "intentId": "ed680559606b441193e7786bc0fcbab8", "repoId": "InternScience/Sage-A1.5", "safeConfigVector": {"gpuNum": 1, "maxModelLen": 4096}, "status": "capacity_deferred", "targetGpu": "Kunlunxin_p-800", "taskId": null, "taskType": "text-generation"}
|
||||
{"batchId": "dce6d40ddb494dbd988aa73eed529630", "completedAt": "2026-10-22T18:35:34.769606+00:00", "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configSource": "modelhub_live", "createdAt": "2026-10-22T18:35:32.068485+00:00", "framework": "vllm_fix_tokenizer", "intentId": "e7efa579574e4748b7c438a495df5fd0", "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"}
|
||||
|
||||
@@ -2,24 +2,24 @@
|
||||
"agentVersion": "2026.09.04.4",
|
||||
"checksums": {
|
||||
".modelhub_state/account_capacity.json": "f591efaa5e2d390894b5ffaf9c4b07675963ad8cf10005b50a5bfaea90b967f2",
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||||
".modelhub_state/architecture_compatibility_blacklist.json": "6cce65ce7eed0b46741931fc6c68b5e3053202701ddd60f3e0f1e2f222cb1a4d",
|
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".modelhub_state/architecture_compatibility_blacklist.json": "6e4699efc811d7f8c908e256def7b766b3366f5ceac5dd4a05e1ebfd59bb18e3",
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||||
".modelhub_state/architecture_history_backfill.json": "a92348206605da04f75c9e26e7c818b76f259e0b28983f18b6375ef94802f0ab",
|
||||
".modelhub_state/market_intelligence.json": "5428cc130fbbcc8a854b430ae200a838f4505f3908bac04b1386669401a607c7",
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||||
".modelhub_state/official_capabilities.json": "f9a6acbdd623c4ac4592e0d3bfcdd7688568e2ee0c44681bd6e150afd4fbb151",
|
||||
".modelhub_state/outcome_checkpoint.json": "15b5993d5204f11a5631232063bca43c8290fb7abd61886f7fe41cf626924fbe",
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||||
".modelhub_state/market_intelligence.json": "7247b0b55a08acc4eefe9e75a5ee2b10bb97b6f16a0f89ba6e18497f1873aff6",
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".modelhub_state/official_capabilities.json": "c6af5401fb519fdd64425dcb1a74bcc6ac95e6ccd684bfb398b000d9b4ddc756",
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||||
".modelhub_state/outcome_checkpoint.json": "561b2291f5a989e9396c0f40bcac36eb001f0315530c98e6103d83093356f0f3",
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||||
".modelhub_state/queue_cleanup_latest.json": "dff3bc353b273e3546b14a5fc4d41d6927459e610499860d741178d39f2af727",
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||||
".modelhub_state/recent_outcomes.jsonl": "af80b03c1147019d447a3a33c5bbb83a8733c09983c2a9478b8d3b01bb7a779f",
|
||||
".modelhub_state/recovery_active_tasks.jsonl": "034cd7cb80c7d1d457259ff2f1105bf9d7ad7df6bd2df8b94e531d92fc0a80ac",
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||||
".modelhub_state/recovery_intents.jsonl": "c7584e69c59aee9bde0a7ab34ac86d7a15994504d9f7b261443f88765e1f3a25",
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||||
".modelhub_state/recovery_intents.jsonl": "08163b09f3b6dbefaeb32809ddc95d0143f5488b97a00ced498ab31e10ad300a",
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||||
".modelhub_state/routing_intelligence.json": "22b88ce60d88bbb9ea8edeae1b9f1d641ed5fd95680e2f83b0cefab7c30ed548",
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||||
".modelhub_state/submission_exclusions.jsonl": "e2677e09d968a0c44c65d7c030b9c8ea2c9d39dc378ce302c2a309ab54d600d9",
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||||
".modelhub_state/worker_crashes.jsonl": "50e3ab320d986c635b0d4cb9b1de107b33f9ab8864ff5aa9ca00e1b4af9f30cc",
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||||
"ledger/submissions.jsonl": "4fc2858275362b026ea68142f6598e23018be3b6cd7a040c440454ac3a8301ad",
|
||||
"outcomes/submissions.jsonl": "1dd1dde7da053373886436db2288f104346839062a2968ea2ca5a6ebca24a0c5"
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||||
"outcomes/submissions.jsonl": "f7539ed388809c907cc7aa398e35c1273b5976058e9a9690763102dac45cd4b5"
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||||
},
|
||||
"generation": 29838,
|
||||
"phase": "cycle",
|
||||
"generation": 29839,
|
||||
"phase": "intent",
|
||||
"schemaVersion": 1,
|
||||
"updatedAt": "2026-10-22T18:35:40.873504+00:00",
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||||
"updatedAt": "2026-10-22T18:37:15.434570+00:00",
|
||||
"writerId": "a94e2cbdfb3d4160878859cdc87771b0"
|
||||
}
|
||||
|
||||
@@ -119,7 +119,6 @@
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||||
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|
||||
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|
||||
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|
||||
{"failReason": null, "framework": "vllm_fix_tokenizer", "lastSyncTime": "2026-09-21T10:09:08.998391+00:00", "modelId": "LiquidAI/LFM2.5-1.2B-Thinking-MLX-8bit", "modelProfile": {"architectures": ["Lfm2ForCausalLM"], "configFingerprint": "2e9cebc01b20081f0839fa18fe9ca4f7d059509f235699027201fe328177b304", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 1243645809, "estimatedRequiredGiB": 1.395, "gpuMemoryEvidence": {"memoryGiB": 64.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 64.0, "maximumRepositorySizeGiB": 53.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "lfm2", "modelscopeFileSize": 1248516007, "modelscopeLicense": "other", "modelscopeParams": 329251584, "modelscopeTags": ["license:other", "model_type:lfm2", "library:mlx", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:liquid", "custom_tag:lfm2.5", "custom_tag:edge", "custom_tag:mlx", "custom_tag:reasoning"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 1248516007}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-21T02:04:12.536952+00:00", "targetGpu": "Sunrise_pt-200-x1", "taskId": "4991720", "taskType": "text-generation", "verifyResult": null}
|
||||
{"failReason": null, "framework": "vllm", "lastSyncTime": "2026-09-21T12:58:50.741624+00:00", "modelId": "BAAI/AquilaMed-RL", "modelProfile": {"architectures": ["AquilaForCausalLM"], "configFingerprint": "1557c77dfe4d3dc1a68ae6b8349e7d094da7eec7752d29442a9d6d27e5f13121", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 6968, "estimatedRequiredGiB": 18.386, "gpuMemoryEvidence": {"memoryGiB": 64.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 64.0, "maximumRepositorySizeGiB": 53.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "aquila3", "modelscopeFileSize": 16451477782, "modelscopeLicense": "other", "modelscopeParams": 8223748096, "modelscopeTags": ["license:other", "model_type:aquila3", "library:pytorch", "library:transformer", "library:safetensors", "task:text-generation", "custom_tag:arxiv:2406.12182"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 16451477782}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-21T04:44:11.759434+00:00", "targetGpu": "Sunrise_pt-200-x1", "taskId": "4994057", "taskType": "text-generation", "verifyResult": null}
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||||
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||||
{"failReason": null, "framework": "vllm", "lastSyncTime": "2026-09-21T15:02:24.876320+00:00", "modelId": "RedHatAI/Llama-3.2-3B-Instruct-FP8", "modelProfile": {"architectures": ["LlamaForCausalLM"], "configFingerprint": "1557c77dfe4d3dc1a68ae6b8349e7d094da7eec7752d29442a9d6d27e5f13121", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 4395007696, "estimatedRequiredGiB": 4.922, "gpuMemoryEvidence": {"memoryGiB": 64.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 64.0, "maximumRepositorySizeGiB": 53.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "llama", "modelscopeFileSize": 4404161034, "modelscopeLicense": "llama3.2", "modelscopeParams": 3606752256, "modelscopeTags": ["license:llama3.2", "model_type:llama", "library:transformer", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:llama", "custom_tag:llama-3", "custom_tag:neuralmagic", "custom_tag:llmcompressor"], "modelscopeTasks": ["text-generation"], "quantizationMethod": "compressed-tensors", "repositoryOnDiskBytes": 4404161034}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-21T06:55:59.084023+00:00", "targetGpu": "Sunrise_pt-200-x1", "taskId": "4995631", "taskType": "text-generation", "verifyResult": null}
|
||||
|
||||
Reference in New Issue
Block a user