From 1f43bddd08b79d3bfba665fc9dc2e2e267aa8787 Mon Sep 17 00:00:00 2001 From: CoolBoy <2269097679@qq.com> Date: Fri, 9 Oct 2026 02:58:00 +0000 Subject: [PATCH] state: generation 22441 (cycle) --- .modelhub_state/market_intelligence.json | 2 +- .modelhub_state/official_capabilities.json | 972 ++++++++++----------- manifest.json | 8 +- 3 files changed, 476 insertions(+), 506 deletions(-) diff --git a/.modelhub_state/market_intelligence.json b/.modelhub_state/market_intelligence.json index 1d90d68208..522c8502e3 100644 --- a/.modelhub_state/market_intelligence.json +++ b/.modelhub_state/market_intelligence.json @@ -405,7 +405,7 @@ } }, "frameworkUpdatedAt": null, - "generatedAt": "2026-10-09T02:54:10.860788+00:00", + "generatedAt": "2026-10-09T02:57:39.283396+00:00", "gpuStats": { "Ascend_910-b3": { "available": true, diff --git a/.modelhub_state/official_capabilities.json b/.modelhub_state/official_capabilities.json index 4f2955ec7b..a320e2b753 100644 --- a/.modelhub_state/official_capabilities.json +++ b/.modelhub_state/official_capabilities.json @@ -1,5 +1,5 @@ { - "catalogUpdatedAt": "2026-10-09T02:54:10.860788+00:00", + "catalogUpdatedAt": "2026-10-09T02:57:39.283396+00:00", "configuredTaskTypes": [ "text-generation" ], @@ -56,7 +56,7 @@ "time-series-forecasting" ], "errors": [], - "generatedAt": "2026-10-09T02:55:15.204952+00:00", + "generatedAt": "2026-10-09T02:57:59.819477+00:00", "gpuCatalog": { "Ascend_910-b3": { "canVerify": true, @@ -168,7 +168,7 @@ "text-to-image-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:08.470416+00:00" + "updatedAt": "2026-10-09T02:57:48.987668+00:00" }, "https://modelscope.cn/models/AXERA-TECH/Qwen3-1.7B-GPTQ-Int4|2026-09-23T17:58:48+00:00|Ascend_910-b4": { "taskTypes": [ @@ -176,7 +176,7 @@ "text-to-image-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:08.360900+00:00" + "updatedAt": "2026-10-09T02:57:48.950761+00:00" }, "https://modelscope.cn/models/AXERA-TECH/Qwen3-1.7B-GPTQ-Int4|2026-09-23T17:58:48+00:00|Cambricon_mlu-370-x8": { "taskTypes": [ @@ -184,7 +184,7 @@ "text-to-image-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:08.783408+00:00" + "updatedAt": "2026-10-09T02:57:49.231046+00:00" }, "https://modelscope.cn/models/AXERA-TECH/Qwen3-1.7B-GPTQ-Int4|2026-09-23T17:58:48+00:00|Iluvatar_mrv-100": { "taskTypes": [ @@ -206,7 +206,7 @@ "text-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:08.310133+00:00" + "updatedAt": "2026-10-09T02:57:48.915230+00:00" }, "https://modelscope.cn/models/AXERA-TECH/Qwen3-1.7B-GPTQ-Int4|2026-09-23T17:58:48+00:00|hygon_k100-ai": { "taskTypes": [ @@ -222,7 +222,7 @@ "text-to-image-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:14.594256+00:00" + "updatedAt": "2026-10-09T02:57:54.665081+00:00" }, "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Ascend_910-b4": { "taskTypes": [ @@ -230,7 +230,7 @@ "text-to-image-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:14.554205+00:00" + "updatedAt": "2026-10-09T02:57:54.597958+00:00" }, "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Cambricon_mlu-370-x8": { "taskTypes": [ @@ -238,7 +238,7 @@ "text-to-image-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:14.932131+00:00" + "updatedAt": "2026-10-09T02:57:55.069656+00:00" }, "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Iluvatar_mrv-100": { "taskTypes": [ @@ -247,7 +247,7 @@ "text-to-image-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:14.652733+00:00" + "updatedAt": "2026-10-09T02:57:54.766648+00:00" }, "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Kunlunxin_p-800": { "taskTypes": [ @@ -268,7 +268,7 @@ "text-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:14.450818+00:00" + "updatedAt": "2026-10-09T02:57:54.566204+00:00" }, "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|hygon_k100-ai": { "taskTypes": [ @@ -284,7 +284,7 @@ "text-to-image-generation", "visual-multi-modal" ], - "updatedAt": "2026-10-09T02:51:08.470532+00:00" + "updatedAt": "2026-10-09T02:57:49.160012+00:00" }, "https://modelscope.cn/models/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF|2026-09-23T18:59:55+00:00|Ascend_910-b4": { "taskTypes": [ @@ -292,7 +292,7 @@ "text-to-image-generation", "visual-multi-modal" ], - 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"taskTreeUpdatedAt": "2026-10-09T02:54:10.860788+00:00", + "taskTreeUpdatedAt": "2026-10-09T02:57:39.283396+00:00", "version": 1 } diff --git a/manifest.json b/manifest.json index 63336d5add..9287d9cf1e 100644 --- a/manifest.json +++ b/manifest.json @@ -4,8 +4,8 @@ ".modelhub_state/account_capacity.json": "930f9869793c3d1aa071c53f05b7cf82a4e372f002be88361d6d6189e27c12a1", ".modelhub_state/architecture_compatibility_blacklist.json": "dea3473f4907de014ce81896093b6b5cde40b7daed27e1c24f019ade0b42d47e", ".modelhub_state/architecture_history_backfill.json": "a92348206605da04f75c9e26e7c818b76f259e0b28983f18b6375ef94802f0ab", - ".modelhub_state/market_intelligence.json": "99251dc617b0033dd35317b1ed9586a4e89f0a2d98832d24a2321ff51babdfba", - ".modelhub_state/official_capabilities.json": "7b4c3783a3ec67c1cb432152e2e409a607127cac237300f46900ce9eaa8ab0f7", + ".modelhub_state/market_intelligence.json": "c12413025cbe9584473575a51d05e02bbea3300f157830ccaa23999cf9c006c4", + ".modelhub_state/official_capabilities.json": "f387a60976c591dea7b4501a146d14173b3ef85dcc3dd858483b878818f27acd", ".modelhub_state/outcome_checkpoint.json": "95d243dc872d1cee9a7274e90b77d425078619053fdffa35e7763fdac484d517", ".modelhub_state/queue_cleanup_latest.json": "50e32e7310b741eb34ea8984998bb9c748ead6caa005ef337660e802b78acd8b", ".modelhub_state/recent_outcomes.jsonl": "397af363f24439e7883e73253d0d3da4fbf826942d50943c90b2aa67bfcd9275", @@ -17,9 +17,9 @@ "ledger/submissions.jsonl": "36948cbaa1b67a911ae10d823ce54b44a786280d57775bd442afbb7924b0ea96", "outcomes/submissions.jsonl": "6374be64330a65891e20da4b0ffc7277f6e316551ab8627d99d447ede400a611" }, - 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