state: generation 10273 (cycle)
This commit is contained in:
@@ -1762,7 +1762,7 @@
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"taskType": "text-generation"
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"taskType": "text-generation"
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}
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}
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},
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},
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"generatedAt": "2026-09-20T05:29:05.364825+00:00",
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"generatedAt": "2026-09-20T05:31:47.542097+00:00",
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"summary": {
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"summary": {
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"activeBlockCount": 85,
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"activeBlockCount": 85,
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"byGpuFramework": {
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"byGpuFramework": {
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@@ -416,7 +416,7 @@
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}
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}
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},
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},
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"frameworkUpdatedAt": null,
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"frameworkUpdatedAt": null,
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"generatedAt": "2026-09-20T05:31:32.286899+00:00",
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"generatedAt": "2026-09-20T05:31:54.726544+00:00",
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"gpuStats": {
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"gpuStats": {
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"Ascend_910-b3": {
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"Ascend_910-b3": {
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"available": true,
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"available": true,
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@@ -1,5 +1,5 @@
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{
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{
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"catalogUpdatedAt": "2026-09-20T05:31:32.286899+00:00",
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"catalogUpdatedAt": "2026-09-20T05:31:54.726544+00:00",
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"configuredTaskTypes": [
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"configuredTaskTypes": [
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"text-generation"
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"text-generation"
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],
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],
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@@ -56,7 +56,7 @@
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"time-series-forecasting"
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"time-series-forecasting"
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],
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],
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"errors": [],
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"errors": [],
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"generatedAt": "2026-09-20T05:31:32.286899+00:00",
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"generatedAt": "2026-09-20T05:31:54.726544+00:00",
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"gpuCatalog": {
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"gpuCatalog": {
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"Ascend_910-b3": {
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"Ascend_910-b3": {
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"canVerify": true,
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"canVerify": true,
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@@ -6553,6 +6553,6 @@
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"updateTime": "2025-12-22 08:59:53"
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"updateTime": "2025-12-22 08:59:53"
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}
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}
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],
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],
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"taskTreeUpdatedAt": "2026-09-20T05:31:32.286899+00:00",
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"taskTreeUpdatedAt": "2026-09-20T05:31:54.726544+00:00",
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"version": 1
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"version": 1
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}
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}
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@@ -1,6 +1,6 @@
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{
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{
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"generatedAt": "2026-09-20T04:34:35.641518+00:00",
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"generatedAt": "2026-09-20T05:31:47.498700+00:00",
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"lastSyncTime": "2026-09-20T04:34:35.568144+00:00",
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"lastSyncTime": "2026-09-20T05:31:47.157545+00:00",
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"recentLimit": 300,
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"recentLimit": 300,
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"report": {
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"report": {
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"architectureCompatibilityBlocks": {
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"architectureCompatibilityBlocks": {
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@@ -2892,25 +2892,25 @@
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"decisionSuccessRate": 0.3778,
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"successCount": 17,
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"successCount": 17,
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"successRate": 0.2833,
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"successRate": 0.2787,
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"targetGpu": "Iluvatar_bi-150",
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"targetGpu": "Iluvatar_bi-150",
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"taskType": "text-generation",
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"taskType": "text-generation",
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"total": 60,
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"total": 61,
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"unresolvedFailureCount": 15
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"unresolvedFailureCount": 16
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},
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},
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"Iluvatar_bi-150|vllm|reinforcement_learning": {
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@@ -4280,22 +4280,22 @@
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"decisionSuccessRate": 0.3778,
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"decisionSuccessRate": 0.3778,
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"decisionTotal": 45,
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"backend_operator": 4,
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"framework_architecture_unsupported": 10,
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"model_load": 5,
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"model_load": 5,
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"runtime_memory": 9,
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"runtime_memory": 9,
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},
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"successRate": 0.2833,
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"successRate": 0.2787,
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"unresolvedFailureCount": 16
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},
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},
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"vllm_fix_tokenizer": {
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"vllm_fix_tokenizer": {
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"attributableFailureCount": 110,
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"attributableFailureCount": 110,
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@@ -4341,7 +4341,7 @@
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"unresolvedFailureCount": 23
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"unresolvedFailureCount": 23
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}
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}
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},
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},
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"generatedAt": "2026-09-20T04:34:35.634397+00:00",
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"generatedAt": "2026-09-20T05:31:47.492438+00:00",
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"gpuSummaries": {
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"gpuSummaries": {
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"Ascend_910-b3": {
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"Ascend_910-b3": {
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"attributableFailureCount": 72,
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"attributableFailureCount": 72,
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@@ -4507,7 +4507,7 @@
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"decisionSuccessRate": 0.176,
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"decisionSuccessRate": 0.176,
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"decisionTotal": 841,
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"decisionTotal": 841,
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"architecture_compatibility": 15,
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"architecture_compatibility": 15,
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"backend_operator": 10,
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"backend_operator": 10,
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"context_length": 29,
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"context_length": 29,
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@@ -4522,15 +4522,15 @@
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"日志缺失": 155,
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"日志缺失": 155,
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"验证失败": 30
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"验证失败": 30
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},
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},
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"failureRate": 0.9235,
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"pendingCount": 0,
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"pendingCount": 0,
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"pendingRate": 0.0,
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"pendingRate": 0.0,
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"platformFailureCount": 21,
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"successCount": 148,
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"successCount": 148,
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"successRate": 0.0765,
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"successRate": 0.0765,
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"total": 1934,
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"total": 1935,
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"unresolvedFailureCount": 1072
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"unresolvedFailureCount": 1073
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},
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},
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"Iluvatar_mrv-100": {
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"Iluvatar_mrv-100": {
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"attributableFailureCount": 964,
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"attributableFailureCount": 964,
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@@ -6955,10 +6955,10 @@
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"decisionSuccessRate": 0.0,
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"decisionSuccessRate": 0.0,
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"decisionTotal": 0,
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"decisionTotal": 0,
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"failureBreakdown": {
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"ambiguous_runtime": 4,
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"ambiguous_runtime": 5,
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"参数/模板问题": 1
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"参数/模板问题": 1
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},
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},
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"failureCount": 5,
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"failureCount": 6,
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"failureRate": 1.0,
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"failureRate": 1.0,
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"framework": "vllm_0_17_0_corex_4_4_0",
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"framework": "vllm_0_17_0_corex_4_4_0",
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"modelType": "qwen3_5",
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"modelType": "qwen3_5",
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@@ -6970,8 +6970,8 @@
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"successRate": 0.0,
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"successRate": 0.0,
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"targetGpu": "Iluvatar_bi-150",
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"targetGpu": "Iluvatar_bi-150",
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"taskType": "text-generation",
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"taskType": "text-generation",
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"total": 5,
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"unresolvedFailureCount": 6
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},
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},
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"Iluvatar_bi-150|vllm_0_17_0_corex_4_4_0|text-generation|qwen3|none": {
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"Iluvatar_bi-150|vllm_0_17_0_corex_4_4_0|text-generation|qwen3|none": {
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"attributableFailureCount": 0,
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@@ -13701,9 +13701,9 @@
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"decisionSuccessRate": 0.0,
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"decisionSuccessRate": 0.0,
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"decisionTotal": 0,
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"failureCount": 1,
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"failureRate": 1.0,
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"failureRate": 1.0,
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"framework": "vllm_0_17_0_corex_4_4_0",
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"framework": "vllm_0_17_0_corex_4_4_0",
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"loadSizeLog2Bucket": 33,
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"loadSizeLog2Bucket": 33,
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@@ -13716,8 +13716,8 @@
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"successRate": 0.0,
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"successRate": 0.0,
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||||||
"targetGpu": "Iluvatar_bi-150",
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"targetGpu": "Iluvatar_bi-150",
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"taskType": "text-generation",
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"taskType": "text-generation",
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"Iluvatar_bi-150|vllm_0_17_0_corex_4_4_0|text-generation|qwen3_5|none|34": {
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"Iluvatar_bi-150|vllm_0_17_0_corex_4_4_0|text-generation|qwen3_5|none|34": {
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@@ -17945,15 +17945,15 @@
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"unresolvedFailureCount": 0
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}
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"decisionFailureRate": 0.8618,
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"decisionFailureRate": 0.8618,
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"decisionSuccessRate": 0.1382,
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"decisionTotal": 6614,
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"decisionTotal": 6614,
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"architecture_compatibility": 212,
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||||||
"attention_backend": 1,
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@@ -17969,64 +17969,64 @@
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"日志缺失": 719,
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},
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},
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},
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},
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"warnings": [
|
"warnings": [
|
||||||
"GPU Vastai_va16 本地统计失败率偏高(≥50%),建议重点关注。",
|
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"GPU Ascend_910-b4 本地统计失败率偏高(≥50%),建议重点关注。",
|
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||||||
"GPU Biren_166m 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。",
|
|
||||||
"GPU Iluvatar_bi-150 本地统计失败率偏高(≥50%),建议重点关注。",
|
|
||||||
"GPU Ascend_910-b3 本地统计失败率偏高(≥50%),建议重点关注。",
|
|
||||||
"GPU MetaX_c-500 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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||||||
"GPU hygon_k100-ai 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。",
|
|
||||||
"GPU Cambricon_mlu-370-x8 本地统计失败率偏高(≥50%),建议重点关注。",
|
|
||||||
"GPU Iluvatar_bi-100 本地统计失败率偏高(≥50%),建议重点关注。",
|
"GPU Iluvatar_bi-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 Biren_166m 本地统计失败率偏高(≥50%),建议重点关注。",
|
||||||
|
"GPU Iluvatar_bi-150 本地统计失败率偏高(≥50%),建议重点关注。",
|
||||||
|
"GPU MetaX_c-500 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。",
|
||||||
|
"GPU Ascend_910-b3 本地统计失败率偏高(≥50%),建议重点关注。",
|
||||||
|
"GPU Ascend_910-b4 本地统计失败率偏高(≥50%),建议重点关注。",
|
||||||
|
"GPU Iluvatar_mrv-100 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 Cambricon_mlu-370-x4 本地统计失败率偏高(≥50%),建议重点关注。",
|
||||||
"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。",
|
"GPU Vastai_va16 本地统计失败率偏高(≥50%),建议重点关注。",
|
||||||
"组合 hygon_k100-ai|vllm-patch-tokenizer|text-generation 近期失败集中,建议降低该 GPU+框架的提交优先级。",
|
"GPU Cambricon_mlu-370-x8 本地统计失败率偏高(≥50%),建议重点关注。",
|
||||||
"组合 Ascend_910-b4|llamacpp|text-generation 近期失败集中,建议降低该 GPU+框架的提交优先级。",
|
"GPU Sunrise_pt-200-x1 本地统计失败率偏高(≥50%),建议重点关注。",
|
||||||
"组合 hygon_k100-ai|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 Biren_166m|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 Sunrise_pt-200-x1|vllm|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 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。",
|
|
||||||
"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 Vastai_va16|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 MetaX_c-500|vllm|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 Ascend_910-b4|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|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|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 Ascend_910-b4|vllm_tokenizer_patch|text-generation 近期失败集中,建议降低该 GPU+框架的提交优先级。",
|
|
||||||
"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 Cambricon_mlu-370-x4|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 Iluvatar_bi-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 Sunrise_pt-200-x1|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 Ascend_910-b3|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。",
|
|
||||||
"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 hygon_k100-ai|vllm|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 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 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 Cambricon_mlu-370-x4|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-x4|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 Biren_166m|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 Vastai_va16|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 Ascend_910-b3|vllm_tokenizer_patch|text-generation 近期失败集中,建议降低该 GPU+框架的提交优先级。",
|
|
||||||
"组合 MetaX_c-500|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 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 Iluvatar_bi-150|vllm|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 Iluvatar_bi-150|vllm|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 Iluvatar_bi-150|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 Ascend_910-b4|vllm_tokenizer_patch|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。",
|
||||||
|
"组合 MetaX_c-500|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_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 hygon_k100-ai|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 hygon_k100-ai|vllm|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 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。",
|
||||||
|
"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 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 Sunrise_pt-200-x1|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 Sunrise_pt-200-x1|vllm|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 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 MetaX_c-500|vllm|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 Ascend_910-b4|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_bi-150|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 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。",
|
||||||
|
"组合 hygon_k100-ai|vllm-patch-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-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 Ascend_910-b3|vllm_tokenizer_patch|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|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 Ascend_910-b4|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_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 Ascend_910-b3|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|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",
|
"storageMode": "decision_state_only",
|
||||||
"summarizedRecords": 15858,
|
"summarizedRecords": 15859,
|
||||||
"version": 1
|
"version": 1
|
||||||
}
|
}
|
||||||
|
|||||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -1,24 +1,24 @@
|
|||||||
{
|
{
|
||||||
"agentVersion": "2026.09.20.2",
|
"agentVersion": "2026.09.20.2",
|
||||||
"checksums": {
|
"checksums": {
|
||||||
".modelhub_state/architecture_compatibility_blacklist.json": "8379966f82f40478adee9010bde482770a81479f0aab53df95f39b4d15ab928e",
|
".modelhub_state/architecture_compatibility_blacklist.json": "8be8bfda0486ddd34342e9268c80187e77f4f6f8cd8bf599dce3dc8c8942e7be",
|
||||||
".modelhub_state/architecture_history_backfill.json": "a92348206605da04f75c9e26e7c818b76f259e0b28983f18b6375ef94802f0ab",
|
".modelhub_state/architecture_history_backfill.json": "a92348206605da04f75c9e26e7c818b76f259e0b28983f18b6375ef94802f0ab",
|
||||||
".modelhub_state/market_intelligence.json": "7bb46485a328b15639795b986ec32b52a967da89bb0399fae7e039b1c6be10e0",
|
".modelhub_state/market_intelligence.json": "c83bc342c9b46b1c6be67458b1f497cef0a2964c20d83ec732cf69610bc7f08d",
|
||||||
".modelhub_state/official_capabilities.json": "94671dd2f0c3cb2699228f53bc6e599d1f0e0705a8d7c3e7cf0d85e9bb543bd2",
|
".modelhub_state/official_capabilities.json": "fe5bf9a310f0e90ce2047dac08bf5b0b78b623043cba716ec4a550dd4b250325",
|
||||||
".modelhub_state/outcome_checkpoint.json": "1c3fe981762d67d8dc71e6d355d50bfb111338da37cae935c993fe15160e6e39",
|
".modelhub_state/outcome_checkpoint.json": "8f23d333da995879d3556f009be09635d21ac97dc886345157e0a3f543233e4d",
|
||||||
".modelhub_state/queue_cleanup_latest.json": "25b335b72d13b2b3ece533c0d2becb501b6af2b8e22541f81dbe2557eefe8d4f",
|
".modelhub_state/queue_cleanup_latest.json": "25b335b72d13b2b3ece533c0d2becb501b6af2b8e22541f81dbe2557eefe8d4f",
|
||||||
".modelhub_state/recent_outcomes.jsonl": "a6922b033a6620de4c1eebf27e571bc594980df5d0b7d7d7ae8eb909b24661eb",
|
".modelhub_state/recent_outcomes.jsonl": "a6922b033a6620de4c1eebf27e571bc594980df5d0b7d7d7ae8eb909b24661eb",
|
||||||
".modelhub_state/recovery_active_tasks.jsonl": "6a6642d2da4672468351a07fd0bb925abf7bc2f424bee51d2119bb92951cf44b",
|
".modelhub_state/recovery_active_tasks.jsonl": "994f95d3553448bfcc732956eba30ee67e8d26b1924b65306fcaef31d68e2b02",
|
||||||
".modelhub_state/recovery_intents.jsonl": "2fd4ccb6f00cd716830c3bc41abb00fe377124efb619b71490c1a5c455d148d5",
|
".modelhub_state/recovery_intents.jsonl": "32d3267efe4624b72f5e3fbfac980844a8418cd1c68cb674705fe4e450f57c33",
|
||||||
".modelhub_state/routing_intelligence.json": "883bf953aeb66decf6d3562b5f6db7e61496d89258dbd29ffbedda006925e315",
|
".modelhub_state/routing_intelligence.json": "883bf953aeb66decf6d3562b5f6db7e61496d89258dbd29ffbedda006925e315",
|
||||||
".modelhub_state/submission_exclusions.jsonl": "221be895a524330815b3c5124450b33c94b5f1e68169030c73684bf675d06ec7",
|
".modelhub_state/submission_exclusions.jsonl": "221be895a524330815b3c5124450b33c94b5f1e68169030c73684bf675d06ec7",
|
||||||
".modelhub_state/worker_crashes.jsonl": "a494412048eca6dce83e7284303a6b4b56a445c1274ac201ab8723c739a14f23",
|
".modelhub_state/worker_crashes.jsonl": "a494412048eca6dce83e7284303a6b4b56a445c1274ac201ab8723c739a14f23",
|
||||||
"ledger/submissions.jsonl": "c5e33fac37c42ed4f7e180d1ee68db63cff2ac76b7bd1b02fdde7ef023d2af25",
|
"ledger/submissions.jsonl": "c5e33fac37c42ed4f7e180d1ee68db63cff2ac76b7bd1b02fdde7ef023d2af25",
|
||||||
"outcomes/submissions.jsonl": "cd4ff293a2f844a84bd329f2e77c7d65512d4e3b6a23d18b9e6601847e16ca14"
|
"outcomes/submissions.jsonl": "0ebb041b75fdf7d2ca66b60303f295594f7392c84354bb26302e36331a0e621d"
|
||||||
},
|
},
|
||||||
"generation": 10272,
|
"generation": 10273,
|
||||||
"phase": "cycle",
|
"phase": "cycle",
|
||||||
"schemaVersion": 1,
|
"schemaVersion": 1,
|
||||||
"updatedAt": "2026-09-20T05:31:44.516938+00:00",
|
"updatedAt": "2026-09-20T05:31:55.912598+00:00",
|
||||||
"writerId": "fc715c06e24c4db2ae3e425e435db996"
|
"writerId": "fc715c06e24c4db2ae3e425e435db996"
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -212,7 +212,6 @@
|
|||||||
{"failReason": null, "framework": "llamacpp", "lastSyncTime": "2026-09-11T18:34:19.116348+00:00", "modelId": "guaidao2/LFM2.5-2.6B-For-CTF", "modelProfile": {"architectures": [], "configFingerprint": "210478cd4aaac159760a821d912afadc8c24e731c59a89524484711a2c016d6a", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 2874779040, "estimatedRequiredGiB": 11.734, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "modelhub_preflight_oom:24"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": null, "modelscopeFileSize": 10499570876, "modelscopeLicense": null, "modelscopeParams": 2697198592, "modelscopeTags": ["library:gguf", "task:text-generation", "custom_tag:gguf", "deploy:swingdeploy"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 10499570876}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T10:27:33.286927+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "4776571", "taskType": "text-generation", "verifyResult": null}
|
{"failReason": null, "framework": "llamacpp", "lastSyncTime": "2026-09-11T18:34:19.116348+00:00", "modelId": "guaidao2/LFM2.5-2.6B-For-CTF", "modelProfile": {"architectures": [], "configFingerprint": "210478cd4aaac159760a821d912afadc8c24e731c59a89524484711a2c016d6a", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 2874779040, "estimatedRequiredGiB": 11.734, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "modelhub_preflight_oom:24"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": null, "modelscopeFileSize": 10499570876, "modelscopeLicense": null, "modelscopeParams": 2697198592, "modelscopeTags": ["library:gguf", "task:text-generation", "custom_tag:gguf", "deploy:swingdeploy"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 10499570876}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T10:27:33.286927+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "4776571", "taskType": "text-generation", "verifyResult": null}
|
||||||
{"failReason": null, "framework": "vllm_0_17_0_corex_4_4_0", "lastSyncTime": "2026-09-11T18:34:19.116372+00:00", "modelId": "primitive-ai/Nex-N2.5-mini-mixed-NVFP4-FP8", "modelProfile": {"architectures": ["Qwen3_5MoeForConditionalGeneration"], "configFingerprint": "1cc16a7df03cf7b1485e2fda7e5c05e286a546d04e80bdd595c015004b3852a8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 26057989872, "estimatedRequiredGiB": 29.158, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "modelhub_preflight_oom:24"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5_moe", "modelscopeFileSize": 26090095180, "modelscopeLicense": "apache-2.0", "modelscopeParams": 21416999792, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5_moe", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:vllm", "custom_tag:compressed-tensors", "custom_tag:nvfp4", "custom_tag:fp8", "custom_tag:mixed-precision", "custom_tag:quantized", "custom_tag:moe", "custom_tag:nex-n2.5", "custom_tag:agentic", "custom_tag:tool-calling", "custom_tag:single-gpu", "custom_tag:blackwell"], "modelscopeTasks": ["text-generation"], "quantizationMethod": "compressed-tensors", "repositoryOnDiskBytes": 26090095180}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T10:27:33.293196+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "4776566", "taskType": "text-generation", "verifyResult": null}
|
{"failReason": null, "framework": "vllm_0_17_0_corex_4_4_0", "lastSyncTime": "2026-09-11T18:34:19.116372+00:00", "modelId": "primitive-ai/Nex-N2.5-mini-mixed-NVFP4-FP8", "modelProfile": {"architectures": ["Qwen3_5MoeForConditionalGeneration"], "configFingerprint": "1cc16a7df03cf7b1485e2fda7e5c05e286a546d04e80bdd595c015004b3852a8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 26057989872, "estimatedRequiredGiB": 29.158, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "modelhub_preflight_oom:24"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5_moe", "modelscopeFileSize": 26090095180, "modelscopeLicense": "apache-2.0", "modelscopeParams": 21416999792, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5_moe", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:vllm", "custom_tag:compressed-tensors", "custom_tag:nvfp4", "custom_tag:fp8", "custom_tag:mixed-precision", "custom_tag:quantized", "custom_tag:moe", "custom_tag:nex-n2.5", "custom_tag:agentic", "custom_tag:tool-calling", "custom_tag:single-gpu", "custom_tag:blackwell"], "modelscopeTasks": ["text-generation"], "quantizationMethod": "compressed-tensors", "repositoryOnDiskBytes": 26090095180}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T10:27:33.293196+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "4776566", "taskType": "text-generation", "verifyResult": null}
|
||||||
{"failReason": null, "framework": "vllm_0_17_0_corex_4_4_0", "lastSyncTime": "2026-09-11T18:34:19.116390+00:00", "modelId": "CohereLabs/tiny-aya-en-thinker", "modelProfile": {"architectures": ["Cohere2ForCausalLM"], "configFingerprint": "1cc16a7df03cf7b1485e2fda7e5c05e286a546d04e80bdd595c015004b3852a8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 6700539432, "estimatedRequiredGiB": 7.522, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "modelhub_preflight_oom:24"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "cohere2", "modelscopeFileSize": 6730844445, "modelscopeLicense": "cc-by-nc-4.0", "modelscopeParams": 3350243328, "modelscopeTags": ["license:cc-by-nc-4.0", "model_type:cohere2", "library:transformer", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:aya", "custom_tag:multilingual", "custom_tag:reasoning", "custom_tag:tiny-aya"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 6730844445}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T10:27:40.677288+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "4776576", "taskType": "text-generation", "verifyResult": null}
|
{"failReason": null, "framework": "vllm_0_17_0_corex_4_4_0", "lastSyncTime": "2026-09-11T18:34:19.116390+00:00", "modelId": "CohereLabs/tiny-aya-en-thinker", "modelProfile": {"architectures": ["Cohere2ForCausalLM"], "configFingerprint": "1cc16a7df03cf7b1485e2fda7e5c05e286a546d04e80bdd595c015004b3852a8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 6700539432, "estimatedRequiredGiB": 7.522, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "modelhub_preflight_oom:24"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "cohere2", "modelscopeFileSize": 6730844445, "modelscopeLicense": "cc-by-nc-4.0", "modelscopeParams": 3350243328, "modelscopeTags": ["license:cc-by-nc-4.0", "model_type:cohere2", "library:transformer", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:aya", "custom_tag:multilingual", "custom_tag:reasoning", "custom_tag:tiny-aya"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 6730844445}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T10:27:40.677288+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "4776576", "taskType": "text-generation", "verifyResult": null}
|
||||||
{"failReason": null, "framework": "vllm_0_17_0_corex_4_4_0", "lastSyncTime": "2026-09-11T18:34:19.116378+00:00", "modelId": "BAAI/AREX-Turbo", "modelProfile": {"architectures": ["Qwen3_5ForConditionalGeneration"], "configFingerprint": "1cc16a7df03cf7b1485e2fda7e5c05e286a546d04e80bdd595c015004b3852a8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 9078620368, "estimatedRequiredGiB": 10.18, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "modelhub_preflight_oom:24"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5", "modelscopeFileSize": 9109259594, "modelscopeLicense": "apache-2.0", "modelscopeParams": 4539265536, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:agent", "custom_tag:deep-research", "custom_tag:reasoning", "custom_tag:tool-use", "custom_tag:long-context", "custom_tag:qwen3.5", "custom_tag:dense"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 9109259594}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T10:27:40.670287+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "4776578", "taskType": "text-generation", "verifyResult": null}
|
|
||||||
{"failReason": null, "framework": "vllm_tokenizer_patch", "lastSyncTime": "2026-09-11T23:35:43.695551+00:00", "modelId": "ddalcu/Qwen3.8-27B-MLX-Serve-iQ-MLX-3.8bpw", "modelProfile": {"architectures": ["Qwen3_5ForConditionalGeneration"], "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 12999919368, "estimatedRequiredGiB": 14.555, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5", "modelscopeFileSize": 13023155398, "modelscopeLicense": "apache-2.0", "modelscopeParams": 3544073216, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5", "library:mlx", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:mlx", "custom_tag:mlx-serve", "custom_tag:qwen3_5", "custom_tag:apple-silicon", "custom_tag:imatrix", "custom_tag:mtp", "custom_tag:speculative-decoding"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 13023155398}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T15:30:58.007700+00:00", "targetGpu": "Ascend_910-b4", "taskId": "4782245", "taskType": "text-generation", "verifyResult": null}
|
{"failReason": null, "framework": "vllm_tokenizer_patch", "lastSyncTime": "2026-09-11T23:35:43.695551+00:00", "modelId": "ddalcu/Qwen3.8-27B-MLX-Serve-iQ-MLX-3.8bpw", "modelProfile": {"architectures": ["Qwen3_5ForConditionalGeneration"], "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 12999919368, "estimatedRequiredGiB": 14.555, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5", "modelscopeFileSize": 13023155398, "modelscopeLicense": "apache-2.0", "modelscopeParams": 3544073216, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5", "library:mlx", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:mlx", "custom_tag:mlx-serve", "custom_tag:qwen3_5", "custom_tag:apple-silicon", "custom_tag:imatrix", "custom_tag:mtp", "custom_tag:speculative-decoding"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 13023155398}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T15:30:58.007700+00:00", "targetGpu": "Ascend_910-b4", "taskId": "4782245", "taskType": "text-generation", "verifyResult": null}
|
||||||
{"failReason": null, "framework": "vllm_tokenizer_patch", "lastSyncTime": "2026-09-11T23:52:34.207593+00:00", "modelId": "CohereLabs/tiny-aya-base-32K", "modelProfile": {"architectures": ["Cohere2ForCausalLM"], "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 6700539432, "estimatedRequiredGiB": 7.522, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "cohere2", "modelscopeFileSize": 3443, "modelscopeLicense": "cc-by-nc-4.0", "modelscopeParams": 3350243328, "modelscopeTags": ["license:cc-by-nc-4.0", "model_type:cohere2", "library:transformer", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:aya", "custom_tag:multilingual", "custom_tag:long-context", "custom_tag:tiny-aya"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 6730839322}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T15:45:34.084559+00:00", "targetGpu": "Ascend_910-b4", "taskId": "4782449", "taskType": "text-generation", "verifyResult": null}
|
{"failReason": null, "framework": "vllm_tokenizer_patch", "lastSyncTime": "2026-09-11T23:52:34.207593+00:00", "modelId": "CohereLabs/tiny-aya-base-32K", "modelProfile": {"architectures": ["Cohere2ForCausalLM"], "configFingerprint": "167e80c9a74f5acd91819ac9a661546c8992cc5beb0bdd0a1dc9fc9659a5e778", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 6700539432, "estimatedRequiredGiB": 7.522, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "cohere2", "modelscopeFileSize": 3443, "modelscopeLicense": "cc-by-nc-4.0", "modelscopeParams": 3350243328, "modelscopeTags": ["license:cc-by-nc-4.0", "model_type:cohere2", "library:transformer", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:aya", "custom_tag:multilingual", "custom_tag:long-context", "custom_tag:tiny-aya"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 6730839322}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T15:45:34.084559+00:00", "targetGpu": "Ascend_910-b4", "taskId": "4782449", "taskType": "text-generation", "verifyResult": null}
|
||||||
{"failReason": null, "framework": "vllm_fix_tokenizer", "lastSyncTime": "2026-09-11T23:52:34.207615+00:00", "modelId": "ddalcu/Qwen3.8-27B-MLX-Serve-iQ-MLX-3.8bpw", "modelProfile": {"architectures": ["Qwen3_5ForConditionalGeneration"], "configFingerprint": "cbe5569cdb6c42553436b837dd5b8f0cfa03334642a56f4ff0137f952f8eb84b", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 12999919368, "estimatedRequiredGiB": 14.555, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5", "modelscopeFileSize": 13023155398, "modelscopeLicense": "apache-2.0", "modelscopeParams": 3544073216, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5", "library:mlx", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:mlx", "custom_tag:mlx-serve", "custom_tag:qwen3_5", "custom_tag:apple-silicon", "custom_tag:imatrix", "custom_tag:mtp", "custom_tag:speculative-decoding"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 13023155398}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T15:47:34.151696+00:00", "targetGpu": "Vastai_va16", "taskId": "4782467", "taskType": "text-generation", "verifyResult": null}
|
{"failReason": null, "framework": "vllm_fix_tokenizer", "lastSyncTime": "2026-09-11T23:52:34.207615+00:00", "modelId": "ddalcu/Qwen3.8-27B-MLX-Serve-iQ-MLX-3.8bpw", "modelProfile": {"architectures": ["Qwen3_5ForConditionalGeneration"], "configFingerprint": "cbe5569cdb6c42553436b837dd5b8f0cfa03334642a56f4ff0137f952f8eb84b", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 12999919368, "estimatedRequiredGiB": 14.555, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "qwen3_5", "modelscopeFileSize": 13023155398, "modelscopeLicense": "apache-2.0", "modelscopeParams": 3544073216, "modelscopeTags": ["license:apache-2.0", "model_type:qwen3_5", "library:mlx", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:mlx", "custom_tag:mlx-serve", "custom_tag:qwen3_5", "custom_tag:apple-silicon", "custom_tag:imatrix", "custom_tag:mtp", "custom_tag:speculative-decoding"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 13023155398}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-11T15:47:34.151696+00:00", "targetGpu": "Vastai_va16", "taskId": "4782467", "taskType": "text-generation", "verifyResult": null}
|
||||||
|
|||||||
Reference in New Issue
Block a user