state: generation 21997 (cycle)
This commit is contained in:
@@ -64,17 +64,19 @@
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"ascend_910-b3|vllm_tokenizer_patch|text-generation|model_type:mini_k3": {
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||||||
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||||||
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||||||
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"targetGpu": "Ascend_910-b3",
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@@ -2876,7 +2878,7 @@
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"taskType": "text-generation"
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||||||
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@@ -1,8 +1,8 @@
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{
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{
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@@ -434,7 +434,7 @@
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}
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}
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},
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"generatedAt": "2026-10-07T23:02:18.783430+00:00",
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"gpuStats": {
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File diff suppressed because it is too large
Load Diff
@@ -1,6 +1,6 @@
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{
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{
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@@ -68,17 +68,19 @@
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@@ -3001,29 +3003,29 @@
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@@ -3318,10 +3320,10 @@
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@@ -3331,8 +3333,8 @@
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@@ -5733,7 +5735,7 @@
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@@ -5742,26 +5744,26 @@
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@@ -5770,28 +5772,28 @@
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@@ -5800,14 +5802,14 @@
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@@ -5844,7 +5846,7 @@
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@@ -5858,15 +5860,15 @@
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@@ -6614,14 +6616,14 @@
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||||||
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|
||||||
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||||||
@@ -6633,7 +6635,7 @@
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||||||
@@ -9309,9 +9311,9 @@
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|
||||||
"GPU Kunlunxin_p-800 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 Cambricon_mlu-370-x8 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 Sunrise_pt-200-x1 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。",
|
||||||
"GPU Ascend_910-b4 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 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。",
|
||||||
"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 Mthreads_s4000 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。",
|
||||||
"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 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|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_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_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。",
|
||||||
@@ -59113,6 +59090,6 @@
|
|||||||
]
|
]
|
||||||
},
|
},
|
||||||
"storageMode": "decision_state_only",
|
"storageMode": "decision_state_only",
|
||||||
"summarizedRecords": 17817,
|
"summarizedRecords": 17819,
|
||||||
"version": 1
|
"version": 1
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -101,6 +101,7 @@
|
|||||||
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|
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|
||||||
{"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "execute_empty_result", "failureCode": "EXECUTE_EMPTY_RESULT", "failureDetectedFramework": "vllm_fix_tokenizer", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "vllm_fix_tokenizer", "lastSyncTime": "2026-10-07T18:18:51.743129+00:00", "modelId": "nkkbr/Mini-K3-1H-decay-g2-v2_C", "modelProfile": {"architectures": [], "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 2030713792, "estimatedRequiredGiB": 2.279, "gpuMemoryEvidence": {"memoryGiB": 32.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 32.0, "maximumRepositorySizeGiB": 26.667, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "mini_k3", "modelscopeFileSize": null, "modelscopeLicense": null, "modelscopeParams": null, "modelscopeTags": ["model_type:mini_k3", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:kimi-k3", "custom_tag:pretraining", "custom_tag:mixture-of-experts", "custom_tag:linear-attention", "custom_tag:architecture-ablation"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 2039076183}, "outcome": "failed", "status": "success", "submitTime": "2026-09-21T22:21:59.843515+00:00", "targetGpu": "Iluvatar_bi-150", "taskId": "5008078", "taskType": "text-generation", "verifyResult": -1}
|
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|
||||||
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|
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|
||||||
|
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|
||||||
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|
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|
||||||
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|
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@@ -112,6 +113,7 @@
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||||||
@@ -296,5 +298,3 @@
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||||||
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|
||||||
{"failReason": "参数/模板问题", "framework": "", "lastSyncTime": "2026-09-21T09:54:21.980336+00:00", "modelId": "nv-community/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4", "modelProfile": {}, "outcome": "failed", "status": "failed", "submitTime": "2026-09-21T09:35:50+00:00", "targetGpu": "Cambricon_mlu-370-x4", "taskId": "4969372", "taskType": "text-generation", "verifyResult": null}
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|
||||||
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|||||||
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@@ -210,8 +210,6 @@
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|||||||
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-decay-g1-v2_B", "modelId": "nkkbr/Mini-K3-1H-decay-g1-v2_B", "submitTime": "2026-09-21T19:52:49.746330+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006515", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-decay-g1-v2_B", "modelId": "nkkbr/Mini-K3-1H-decay-g1-v2_B", "submitTime": "2026-09-21T19:52:49.746330+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006515", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
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{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-kda-kernel-32-v2_D", "modelId": "nkkbr/Mini-K3-1H-kda-kernel-32-v2_D", "submitTime": "2026-09-21T19:57:33.047886+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006584", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
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{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-kda-kernel-32-v2_D", "modelId": "nkkbr/Mini-K3-1H-kda-kernel-32-v2_D", "submitTime": "2026-09-21T19:57:33.047886+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006584", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
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||||||
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-kda-kernel-8-v2_D", "modelId": "nkkbr/Mini-K3-1H-kda-kernel-8-v2_D", "submitTime": "2026-09-21T19:57:33.049384+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006585", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
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{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-kda-kernel-8-v2_D", "modelId": "nkkbr/Mini-K3-1H-kda-kernel-8-v2_D", "submitTime": "2026-09-21T19:57:33.049384+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006585", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
||||||
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-attnres-block6-v1_C", "modelId": "nkkbr/Mini-K3-1H-attnres-block6-v1_C", "submitTime": "2026-09-21T20:24:44.145520+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006850", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
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|
||||||
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-decay-g16-v2_B", "modelId": "nkkbr/Mini-K3-1H-decay-g16-v2_B", "submitTime": "2026-09-21T20:26:44.746980+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006868", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
|
||||||
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-decay-g2-v2_C", "modelId": "nkkbr/Mini-K3-1H-decay-g2-v2_C", "submitTime": "2026-09-21T20:29:00.353829+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006904", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-decay-g2-v2_C", "modelId": "nkkbr/Mini-K3-1H-decay-g2-v2_C", "submitTime": "2026-09-21T20:29:00.353829+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006904", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
||||||
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-attnres-standard-v1_B", "modelId": "nkkbr/Mini-K3-1H-attnres-standard-v1_B", "submitTime": "2026-09-21T20:33:08.547773+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006958", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-attnres-standard-v1_B", "modelId": "nkkbr/Mini-K3-1H-attnres-standard-v1_B", "submitTime": "2026-09-21T20:33:08.547773+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006958", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
||||||
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-decay-g32-v2_C", "modelId": "nkkbr/Mini-K3-1H-decay-g32-v2_C", "submitTime": "2026-09-21T20:33:08.546639+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006960", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
{"framework": "vllm", "modelAddress": "https://modelscope.cn/models/nkkbr/Mini-K3-1H-decay-g32-v2_C", "modelId": "nkkbr/Mini-K3-1H-decay-g32-v2_C", "submitTime": "2026-09-21T20:33:08.546639+00:00", "targetGpu": "Mthreads_s4000", "taskId": "5006960", "taskType": "text-generation", "templateId": "modelhub-live-text-generation-vllm-mthreads-s4000"}
|
||||||
|
|||||||
@@ -2,24 +2,24 @@
|
|||||||
"agentVersion": "2026.09.04.4",
|
"agentVersion": "2026.09.04.4",
|
||||||
"checksums": {
|
"checksums": {
|
||||||
".modelhub_state/account_capacity.json": "930f9869793c3d1aa071c53f05b7cf82a4e372f002be88361d6d6189e27c12a1",
|
".modelhub_state/account_capacity.json": "930f9869793c3d1aa071c53f05b7cf82a4e372f002be88361d6d6189e27c12a1",
|
||||||
".modelhub_state/architecture_compatibility_blacklist.json": "5ce8c9afa101018c881d8f982d028e40d111709dbddd5a51d3a7140c1661f435",
|
".modelhub_state/architecture_compatibility_blacklist.json": "50eca06dcc4b5a3779284105dd51409b3ff7a6bc94144bf39563e225d4aab7de",
|
||||||
".modelhub_state/architecture_history_backfill.json": "a92348206605da04f75c9e26e7c818b76f259e0b28983f18b6375ef94802f0ab",
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".modelhub_state/architecture_history_backfill.json": "a92348206605da04f75c9e26e7c818b76f259e0b28983f18b6375ef94802f0ab",
|
||||||
".modelhub_state/market_intelligence.json": "ead667321d339adcdf443da7a631492fb7d6579f033550191c2ee51e5a7d4259",
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".modelhub_state/market_intelligence.json": "1250bcb3ba658bda70d7dd31cd1454e019cac326932788d74eb8c888dd6bf9ca",
|
||||||
".modelhub_state/official_capabilities.json": "2035c427027ad88e7db0687c10c2b710284a7a7222d7b4e8063f41c4d5dcb36a",
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".modelhub_state/official_capabilities.json": "ac2f09d010248ea243e5dc656d4be2b6df4923f9126b495e72ab69fdc9c0f884",
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||||||
".modelhub_state/outcome_checkpoint.json": "ac10773243bc833567e2bc5e17b2198f7d693117e6d9df6fd0c737f07c8bb397",
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".modelhub_state/outcome_checkpoint.json": "515acebd957efb563ef1ba5e0a94f86944a44d266df76e6b2bf3fdc9a4644212",
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||||||
".modelhub_state/queue_cleanup_latest.json": "568ae8813ea4bc8c494aef8be02f77b1c9756ab49dd7d307b81483e6cca30468",
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".modelhub_state/queue_cleanup_latest.json": "568ae8813ea4bc8c494aef8be02f77b1c9756ab49dd7d307b81483e6cca30468",
|
||||||
".modelhub_state/recent_outcomes.jsonl": "1ff095378a0bdb1f59490c72eceec8c65190a696f12272f3cdebd4e0d1cb3510",
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".modelhub_state/recent_outcomes.jsonl": "b96d94551994bb5046aa6a0277fb99eac8076b063d2b6f1b603e472c77cf8aff",
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||||||
".modelhub_state/recovery_active_tasks.jsonl": "f0f4a85381d0b039ef4e410ac0e842575d0c1d2c7b66a179fa0b6e20ab46ecb4",
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".modelhub_state/recovery_active_tasks.jsonl": "92b1675cc688fa24e3161b9c68a7aacd59670b634153078ef30ac27ea0dff9fc",
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||||||
".modelhub_state/recovery_intents.jsonl": "eab7322340f8ddc42b37664562d050d224961e86b6e0f73eb481a0f01c8e59d2",
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".modelhub_state/recovery_intents.jsonl": "8ce1370c6966c90f27e7e496605e0b3a4f8c7d571d80b9490aba0998c1fcffc7",
|
||||||
".modelhub_state/routing_intelligence.json": "a312187abffa011156b64da1fed551d1816329b725ab3f38c5221900b7cc793e",
|
".modelhub_state/routing_intelligence.json": "a312187abffa011156b64da1fed551d1816329b725ab3f38c5221900b7cc793e",
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||||||
".modelhub_state/submission_exclusions.jsonl": "dca7091e8b1da8bf9b3ecb95fe573b2a41666601edf86cea13ce9ce738b9eb7b",
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".modelhub_state/submission_exclusions.jsonl": "dca7091e8b1da8bf9b3ecb95fe573b2a41666601edf86cea13ce9ce738b9eb7b",
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||||||
".modelhub_state/worker_crashes.jsonl": "b321ea3648ae6b322601ed30ef8c3b1da0f13612af1bde3a64b0d41dc18a7b9f",
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".modelhub_state/worker_crashes.jsonl": "b321ea3648ae6b322601ed30ef8c3b1da0f13612af1bde3a64b0d41dc18a7b9f",
|
||||||
"ledger/submissions.jsonl": "0001eb2d87559fdb56822b89994d8ebeb461c0e07dcedc591aeae15622cdde2c",
|
"ledger/submissions.jsonl": "b6472515c3fff168881bfa1309a0667e668013baac873219ae6aa1b0461b66d9",
|
||||||
"outcomes/submissions.jsonl": "4f9f3402994435f713be18f08216d80d8c532b146ac5a7ff09ac8003aea78a9e"
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"outcomes/submissions.jsonl": "1cac76c3096966665ae05d1957ffc905722ed33a02f488a9004476e8f6a5b2ac"
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||||||
},
|
},
|
||||||
"generation": 21996,
|
"generation": 21997,
|
||||||
"phase": "cycle",
|
"phase": "cycle",
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||||||
"schemaVersion": 1,
|
"schemaVersion": 1,
|
||||||
"updatedAt": "2026-10-07T22:59:23.087155+00:00",
|
"updatedAt": "2026-10-07T23:06:22.519603+00:00",
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||||||
"writerId": "33ed03361c5848e88b8ce6204fb4f7d2"
|
"writerId": "33ed03361c5848e88b8ce6204fb4f7d2"
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -224,7 +224,6 @@
|
|||||||
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{"failReason": null, "framework": "vllm_fix_tokenizer", "lastSyncTime": "2026-09-22T03:22:42.057480+00:00", "modelId": "nkkbr/Mini-K3-1H-mamba2-n64-g8-v1_C", "modelProfile": {"architectures": [], "configFingerprint": "16f74ea0f409861ab0c8169a25d9484cb482e27d6a3ad7c529a70b7cdbfabee3", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 2018871528, "estimatedRequiredGiB": 2.26, "gpuMemoryEvidence": {"memoryGiB": 100.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 100.0, "maximumRepositorySizeGiB": 83.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "mini_k3", "modelscopeFileSize": null, "modelscopeLicense": null, "modelscopeParams": null, "modelscopeTags": ["model_type:mini_k3", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:kimi-k3", "custom_tag:mamba2", "custom_tag:pretraining", "custom_tag:mixture-of-experts", "custom_tag:architecture-ablation"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 2022478516}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-21T19:21:51.638009+00:00", "targetGpu": "Kunlunxin_p-800", "taskId": "5006194", "taskType": "text-generation", "verifyResult": null}
|
||||||
{"failReason": null, "framework": "vllm_tokenizer_patch", "lastSyncTime": "2026-09-22T03:37:52.600714+00:00", "modelId": "nkkbr/Mini-K3-1H-attnres-standard-v1_B", "modelProfile": {"architectures": [], "configFingerprint": "7b5500238d52e9e2a21471d722bc1636ca047e1a12ba49c491593b86bec602b8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 2034135144, "estimatedRequiredGiB": 2.282, "gpuMemoryEvidence": {"memoryGiB": 64.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 64.0, "maximumRepositorySizeGiB": 53.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "mini_k3", "modelscopeFileSize": null, "modelscopeLicense": null, "modelscopeParams": null, "modelscopeTags": ["model_type:mini_k3", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:kimi-k3", "custom_tag:pretraining", "custom_tag:mixture-of-experts", "custom_tag:linear-attention", "custom_tag:architecture-ablation"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 2042280856}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-21T19:37:12.388268+00:00", "targetGpu": "Ascend_910-b3", "taskId": "5006357", "taskType": "text-generation", "verifyResult": null}
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{"failReason": null, "framework": "vllm_tokenizer_patch", "lastSyncTime": "2026-09-22T03:37:52.600714+00:00", "modelId": "nkkbr/Mini-K3-1H-attnres-standard-v1_B", "modelProfile": {"architectures": [], "configFingerprint": "7b5500238d52e9e2a21471d722bc1636ca047e1a12ba49c491593b86bec602b8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 2034135144, "estimatedRequiredGiB": 2.282, "gpuMemoryEvidence": {"memoryGiB": 64.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 64.0, "maximumRepositorySizeGiB": 53.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "mini_k3", "modelscopeFileSize": null, "modelscopeLicense": null, "modelscopeParams": null, "modelscopeTags": ["model_type:mini_k3", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:kimi-k3", "custom_tag:pretraining", "custom_tag:mixture-of-experts", "custom_tag:linear-attention", "custom_tag:architecture-ablation"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 2042280856}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-21T19:37:12.388268+00:00", "targetGpu": "Ascend_910-b3", "taskId": "5006357", "taskType": "text-generation", "verifyResult": null}
|
||||||
{"failReason": null, "framework": "vllm_tokenizer_patch", "lastSyncTime": "2026-09-22T03:37:52.600703+00:00", "modelId": "nkkbr/Mini-K3-1H-decay-g16-v2_B", "modelProfile": {"architectures": [], "configFingerprint": "7b5500238d52e9e2a21471d722bc1636ca047e1a12ba49c491593b86bec602b8", "configOptimization": {"applied": false, "source": "official"}, "configSource": "modelhub_live", "estimatedLoadBytes": 2031106928, "estimatedRequiredGiB": 2.279, "gpuMemoryEvidence": {"memoryGiB": 64.0, "source": "local_modelhub_preflight_oom"}, "gpuMemoryGiB": 64.0, "maximumRepositorySizeGiB": 53.333, "memorySizingBasis": "recursive_repository_on_disk", "modelCard": {}, "modelType": "mini_k3", "modelscopeFileSize": null, "modelscopeLicense": null, "modelscopeParams": null, "modelscopeTags": ["model_type:mini_k3", "library:safetensors", "library:pytorch", "task:text-generation", "custom_tag:kimi-k3", "custom_tag:pretraining", "custom_tag:mixture-of-experts", "custom_tag:linear-attention", "custom_tag:architecture-ablation"], "modelscopeTasks": ["text-generation"], "quantizationMethod": null, "repositoryOnDiskBytes": 2039475672}, "outcome": "pending", "status": "waiting", "submitTime": "2026-09-21T19:37:12.384898+00:00", "targetGpu": "Ascend_910-b3", "taskId": "5006356", "taskType": "text-generation", "verifyResult": null}
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||||||
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|
||||||
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||||||
@@ -242,7 +241,6 @@
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|
||||||
|
|||||||
Reference in New Issue
Block a user