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state: generation 8771 (cycle)

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CoolBoy
2026-09-17 14:19:23 +00:00
parent 342920cdb8
commit 749bcb1a4b
9 changed files with 1964 additions and 1964 deletions
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16
.modelhub_state/architecture_compatibility_blacklist.json
View File

@@ -152,26 +152,26 @@
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@@ -1741,7 +1741,7 @@
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6
.modelhub_state/architecture_history_backfill.json
View File

@@ -51,7 +51,7 @@
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284
.modelhub_state/market_intelligence.json
View File

@@ -416,121 +416,121 @@
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"Kunlunxin_p-800", "Kunlunxin_p-800",

1508
.modelhub_state/official_capabilities.json
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File diff suppressed because it is too large Load Diff

92
.modelhub_state/outcome_checkpoint.json
View File

@@ -1,6 +1,6 @@
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"report": { "report": {
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@@ -156,26 +156,26 @@
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"r0b0tlab/Qwen3.8-27B-NVFP4-MTP-sm121", "r0b0tlab/Qwen3.8-27B-NVFP4-MTP-sm121",
"ornith-ai/Ornith-1.5-9B-MLX-8bit", "ornith-ai/Ornith-1.5-9B-MLX-8bit",
"cyankiwi/Ornith-1.5-9B-AWQ-INT4", "cyankiwi/Ornith-1.5-9B-AWQ-INT4"
"Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B"
], ],
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@@ -1832,17 +1832,17 @@
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@@ -1852,7 +1852,7 @@
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}, },
"Ascend_910-b4|llamacpp|text-generation": { "Ascend_910-b4|llamacpp|text-generation": {
@@ -2837,14 +2837,14 @@
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}, },
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@@ -2853,14 +2853,14 @@
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}, },
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@@ -2972,29 +2972,29 @@
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}, },
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}, },
"Ascend_910-b4": { "Ascend_910-b4": {
@@ -7039,7 +7039,7 @@
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"lastTerminalAt": "2026-09-17T03:40:30.307157+00:00", "lastTerminalAt": "2026-09-17T14:16:49.448224+00:00",
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@@ -13042,17 +13042,17 @@
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@@ -13062,14 +13062,14 @@
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}, },
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@@ -13077,14 +13077,14 @@
"GPU Iluvatar_mrv-100 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 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-x8 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 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 Iluvatar_bi-150 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 hygon_k100-ai 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 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 Ascend_910-b3 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 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 Vastai_va16 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。",
"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 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 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 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|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。",
@@ -13110,6 +13110,6 @@
] ]
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2
.modelhub_state/recent_outcomes.jsonl
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@@ -1,3 +1,4 @@
{"failReason": "framework_architecture_unsupported", "failureAction": "block_gpu_framework_architecture", "failureCategory": "framework_architecture_unsupported", "failureClassificationReason": "explicit_framework_model_unsupported", "failureCode": "MODEL_NOT_SUPPORTED", "failureDetectedFramework": "vllm", "failureDeterministic": true, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": false, "failureScope": "model_gpu_framework", "failureUnsupportedModelTypes": ["qwen3_5"], "framework": "vllm", "lastSyncTime": "2026-09-17T14:16:49.448224+00:00", "modelId": "ewinregirgojr/Qwen3.8-14B-Instruct-Turbo", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-17T14:15:21+00:00", "targetGpu": "Ascend_910-b3", "taskId": "4490182", "taskType": "text-generation", "verifyResult": -1}
{"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "execute_empty_result", "failureCode": "EXECUTE_EMPTY_RESULT", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "", "lastSyncTime": "2026-09-17T14:07:00.815583+00:00", "modelId": "ewinregirgojr/Qwen3.8-9B-Instruct-Turbo", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-17T14:01:21+00:00", "targetGpu": "Kunlunxin_p-800", "taskId": "4483786", "taskType": "text-generation", "verifyResult": -1} {"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "execute_empty_result", "failureCode": "EXECUTE_EMPTY_RESULT", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "", "lastSyncTime": "2026-09-17T14:07:00.815583+00:00", "modelId": "ewinregirgojr/Qwen3.8-9B-Instruct-Turbo", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-17T14:01:21+00:00", "targetGpu": "Kunlunxin_p-800", "taskId": "4483786", "taskType": "text-generation", "verifyResult": -1}
{"failReason": null, "framework": "", "lastSyncTime": "2026-09-17T14:07:00.815606+00:00", "modelId": "BAAI/CareBot_Medical_multi-llama3-8b-instruct", "modelProfile": {}, "outcome": "success", "status": "success", "submitTime": "2026-09-17T14:01:21+00:00", "targetGpu": "Vastai_va16", "taskId": "4471928", "taskType": "text-generation", "verifyResult": 1} {"failReason": null, "framework": "", "lastSyncTime": "2026-09-17T14:07:00.815606+00:00", "modelId": "BAAI/CareBot_Medical_multi-llama3-8b-instruct", "modelProfile": {}, "outcome": "success", "status": "success", "submitTime": "2026-09-17T14:01:21+00:00", "targetGpu": "Vastai_va16", "taskId": "4471928", "taskType": "text-generation", "verifyResult": 1}
{"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "execute_empty_result", "failureCode": "EXECUTE_EMPTY_RESULT", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "", "lastSyncTime": "2026-09-17T13:39:06.611611+00:00", "modelId": "ewinregirgojr/Qwen3.8-14B-Instruct-Turbo", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-17T13:33:21+00:00", "targetGpu": "Kunlunxin_p-800", "taskId": "4490702", "taskType": "text-generation", "verifyResult": -1} {"failReason": "ambiguous_runtime", "failureAction": "send_compact_profile_and_root_exception_to_llm", "failureCategory": "ambiguous_runtime", "failureClassificationReason": "execute_empty_result", "failureCode": "EXECUTE_EMPTY_RESULT", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "unknown", "framework": "", "lastSyncTime": "2026-09-17T13:39:06.611611+00:00", "modelId": "ewinregirgojr/Qwen3.8-14B-Instruct-Turbo", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-17T13:33:21+00:00", "targetGpu": "Kunlunxin_p-800", "taskId": "4490702", "taskType": "text-generation", "verifyResult": -1}
@@ -297,4 +298,3 @@
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{"failReason": "model_load", "failureAction": "inspect_root_exception_then_llm_if_unknown", "failureCategory": "model_load", "failureClassificationReason": "broad_load_error", "failureCode": "MODEL_LOAD_FAILED", "failureDeterministic": false, "failureEnrichmentAttempts": 1, "failureEnrichmentError": null, "failureNeedsLlm": true, "failureScope": "model_gpu_framework", "framework": "", "lastSyncTime": "2026-09-11T12:50:33.752023+00:00", "modelId": "RedHatAI/gemma-2-2b-it-quantized.w8a16", "modelProfile": {}, "outcome": "failed", "status": "success", "submitTime": "2026-09-11T12:47:21+00:00", "targetGpu": "Iluvatar_mrv-100", "taskId": "4523324", "taskType": "text-generation", "verifyResult": -1}

882
.modelhub_state/recovery_active_tasks.jsonl
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@@ -1,3 +1,66 @@
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@@ -62,131 +125,69 @@
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@@ -503,132 +567,68 @@
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