From d70dae05b57208d458999e09b54fad76f24d1e94 Mon Sep 17 00:00:00 2001
From: CoolBoy <2269097679@qq.com>
Date: Thu, 8 Oct 2026 23:11:14 +0000
Subject: [PATCH] state: generation 22382 (cycle)

---
 .modelhub_state/market_intelligence.json   |   2 +-
 .modelhub_state/official_capabilities.json | 991 ++++++++++-----------
 manifest.json                              |   8 +-
 3 files changed, 491 insertions(+), 510 deletions(-)

diff --git a/.modelhub_state/market_intelligence.json b/.modelhub_state/market_intelligence.json
index af2406dbcb..bbeca077e9 100644
--- a/.modelhub_state/market_intelligence.json
+++ b/.modelhub_state/market_intelligence.json
@@ -434,7 +434,7 @@
     }
   },
   "frameworkUpdatedAt": null,
-  "generatedAt": "2026-10-08T23:07:19.575202+00:00",
+  "generatedAt": "2026-10-08T23:10:45.764234+00:00",
   "gpuStats": {
     "Ascend_910-b3": {
       "available": true,
diff --git a/.modelhub_state/official_capabilities.json b/.modelhub_state/official_capabilities.json
index ec7bbb47ee..efbea213cc 100644
--- a/.modelhub_state/official_capabilities.json
+++ b/.modelhub_state/official_capabilities.json
@@ -1,5 +1,5 @@
 {
-  "catalogUpdatedAt": "2026-10-08T23:07:19.575202+00:00",
+  "catalogUpdatedAt": "2026-10-08T23:10:45.764234+00:00",
   "configuredTaskTypes": [
     "text-generation"
   ],
@@ -56,7 +56,7 @@
     "time-series-forecasting"
   ],
   "errors": [],
-  "generatedAt": "2026-10-08T23:07:34.416688+00:00",
+  "generatedAt": "2026-10-08T23:11:13.991581+00:00",
   "gpuCatalog": {
     "Ascend_910-b3": {
       "canVerify": true,
@@ -168,7 +168,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:10.887435+00:00"
+      "updatedAt": "2026-10-08T23:11:00.867417+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": "2026-10-08T22:57:10.857434+00:00"
+      "updatedAt": "2026-10-08T23:11:00.772167+00:00"
     },
     "https://modelscope.cn/models/AXERA-TECH/Qwen3-1.7B-GPTQ-Int4|2026-09-23T17:58:48+00:00|Iluvatar_mrv-100": {
       "taskTypes": [
@@ -198,7 +198,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:10.765010+00:00"
+      "updatedAt": "2026-10-08T23:11:00.652234+00:00"
     },
     "https://modelscope.cn/models/AXERA-TECH/Qwen3-1.7B-GPTQ-Int4|2026-09-23T17:58:48+00:00|hygon_k100-ai": {
       "taskTypes": [
@@ -214,7 +214,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:58:16.559235+00:00"
+      "updatedAt": "2026-10-08T23:11:08.957065+00:00"
     },
     "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Ascend_910-b4": {
       "taskTypes": [
@@ -222,7 +222,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:58:16.260636+00:00"
+      "updatedAt": "2026-10-08T23:11:08.663534+00:00"
     },
     "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Iluvatar_bi-150": {
       "taskTypes": [
@@ -235,7 +235,7 @@
         "vision_classification",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:58:16.375737+00:00"
+      "updatedAt": "2026-10-08T23:11:08.848999+00:00"
     },
     "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Iluvatar_mrv-100": {
       "taskTypes": [
@@ -244,7 +244,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:58:16.468186+00:00"
+      "updatedAt": "2026-10-08T23:11:08.765979+00:00"
     },
     "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Kunlunxin_p-800": {
       "taskTypes": [
@@ -258,14 +258,14 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:58:16.844585+00:00"
+      "updatedAt": "2026-10-08T23:11:09.245300+00:00"
     },
     "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:58:16.153615+00:00"
+      "updatedAt": "2026-10-08T23:11:08.546502+00:00"
     },
     "https://modelscope.cn/models/AlexWortega/llm-cipher-reasoning-loras|2026-09-03T05:28:45+00:00|hygon_k100-ai": {
       "taskTypes": [
@@ -281,7 +281,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:10.954114+00:00"
+      "updatedAt": "2026-10-08T23:11:00.962257+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": [
@@ -289,7 +289,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:10.757841+00:00"
+      "updatedAt": "2026-10-08T23:11:00.772080+00:00"
     },
     "https://modelscope.cn/models/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF|2026-09-23T18:59:55+00:00|Iluvatar_bi-150": {
       "taskTypes": [
@@ -302,7 +302,7 @@
         "vision_classification",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:10.866756+00:00"
+      "updatedAt": "2026-10-08T23:11:00.867253+00:00"
     },
     "https://modelscope.cn/models/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF|2026-09-23T18:59:55+00:00|Iluvatar_mrv-100": {
       "taskTypes": [
@@ -325,14 +325,14 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:27.305595+00:00"
+      "updatedAt": "2026-10-08T23:11:01.194921+00:00"
     },
     "https://modelscope.cn/models/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF|2026-09-23T18:59:55+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:10.665331+00:00"
+      "updatedAt": "2026-10-08T23:11:00.651640+00:00"
     },
     "https://modelscope.cn/models/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF|2026-09-23T18:59:55+00:00|hygon_k100-ai": {
       "taskTypes": [
@@ -386,6 +386,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:25.242432+00:00"
     },
+    "https://modelscope.cn/models/Cactus-Compute/needle3|2026-10-06T12:56:34+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:57.130577+00:00"
+    },
     "https://modelscope.cn/models/Cactus-Compute/needle3|2026-10-06T12:56:34+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -413,7 +421,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:08.470349+00:00"
+      "updatedAt": "2026-10-08T23:10:59.662238+00:00"
     },
     "https://modelscope.cn/models/FINAL-Bench/POCKET-KR-GGUF|2026-09-25T12:54:58+00:00|Ascend_910-b4": {
       "taskTypes": [
@@ -421,7 +429,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:08.253314+00:00"
+      "updatedAt": "2026-10-08T23:10:59.484887+00:00"
     },
     "https://modelscope.cn/models/FINAL-Bench/POCKET-KR-GGUF|2026-09-25T12:54:58+00:00|Iluvatar_bi-150": {
       "taskTypes": [
@@ -434,7 +442,7 @@
         "vision_classification",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:08.361700+00:00"
+      "updatedAt": "2026-10-08T23:10:59.568277+00:00"
     },
     "https://modelscope.cn/models/FINAL-Bench/POCKET-KR-GGUF|2026-09-25T12:54:58+00:00|Iluvatar_mrv-100": {
       "taskTypes": [
@@ -457,14 +465,14 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:08.893601+00:00"
+      "updatedAt": "2026-10-08T23:10:59.902049+00:00"
     },
     "https://modelscope.cn/models/FINAL-Bench/POCKET-KR-GGUF|2026-09-25T12:54:58+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:08.158190+00:00"
+      "updatedAt": "2026-10-08T23:10:59.450054+00:00"
     },
     "https://modelscope.cn/models/FINAL-Bench/POCKET-KR-GGUF|2026-09-25T12:54:58+00:00|hygon_k100-ai": {
       "taskTypes": [
@@ -486,7 +494,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:58:21.556092+00:00"
+      "updatedAt": "2026-10-08T23:11:11.360159+00:00"
     },
     "https://modelscope.cn/models/GestaltLabs/Ornstein-3.5-9B-V2-GGUF|2026-08-28T04:43:27+00:00|Kunlunxin_p-800": {
       "taskTypes": [
@@ -500,7 +508,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:58:21.762751+00:00"
+      "updatedAt": "2026-10-08T23:11:11.479544+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-d112-500b|2026-10-03T06:18:49+00:00|Ascend_910-b3": {
       "taskTypes": [
@@ -552,7 +560,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:23.206719+00:00"
+      "updatedAt": "2026-10-08T23:10:57.754074+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-d112-500b|2026-10-03T06:18:49+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -613,6 +621,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:26.024754+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-d28-336b|2026-10-03T06:20:05+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:57.688673+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-d28-336b|2026-10-03T06:20:05+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -678,7 +694,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:27.904622+00:00"
+      "updatedAt": "2026-10-08T23:10:58.136197+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-huginn-336b|2026-10-03T06:05:12+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -745,7 +761,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:24.001515+00:00"
+      "updatedAt": "2026-10-08T23:10:58.095888+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-huginn-500b|2026-10-03T06:06:18+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -812,7 +828,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:23.494470+00:00"
+      "updatedAt": "2026-10-08T23:10:57.897796+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-middle-336b|2026-10-03T06:14:10+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -879,7 +895,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:39.355892+00:00"
+      "updatedAt": "2026-10-08T23:10:57.693161+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-middle-prelude-injection-336b|2026-10-03T06:19:08+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -946,7 +962,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:23.920757+00:00"
+      "updatedAt": "2026-10-08T23:10:57.988281+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-ouro-raw-injection-336b|2026-10-03T06:06:47+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -1013,7 +1029,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:23.577051+00:00"
+      "updatedAt": "2026-10-08T23:10:57.918154+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-shared-hl-336b|2026-10-03T06:09:56+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -1080,7 +1096,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:23.148307+00:00"
+      "updatedAt": "2026-10-08T23:10:57.717616+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-split-hl-336b|2026-10-03T06:24:06+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -1147,7 +1163,7 @@
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:56:23.588715+00:00"
+      "updatedAt": "2026-10-08T23:10:57.906872+00:00"
     },
     "https://modelscope.cn/models/IFM/LoopedLM-P1-dense-split-hl-x2-336b|2026-10-03T06:11:02+00:00|Mthreads_s4000": {
       "taskTypes": [
@@ -1208,6 +1224,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:24.282153+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P2-d4-m|2026-10-06T14:35:40+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:56.804418+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P2-d4-m|2026-10-06T14:35:40+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -1267,6 +1291,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:24.568403+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P2-d4-s|2026-10-06T14:30:37+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:56.913192+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P2-d4-s|2026-10-06T14:30:37+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -1326,6 +1358,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:23.658211+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-l-fixed-pln5|2026-10-06T14:51:22+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:56.429425+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-l-fixed-pln5|2026-10-06T14:51:22+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -1385,6 +1425,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:23.722392+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-l-fixed-r5|2026-10-06T14:52:33+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:56.305391+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-l-fixed-r5|2026-10-06T14:52:33+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -1444,6 +1492,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:23.963346+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-m-fixed-pln5|2026-10-06T14:43:57+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:56.620370+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-m-fixed-pln5|2026-10-06T14:43:57+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -1503,6 +1559,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:24.004170+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-m-fixed-r5|2026-10-06T14:44:12+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:56.603023+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-m-fixed-r5|2026-10-06T14:44:12+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -1562,6 +1626,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:23.398542+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-m-huginn-linear|2026-10-06T14:59:42+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:56.123585+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-m-huginn-linear|2026-10-06T14:59:42+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -1621,6 +1693,14 @@
       ],
       "updatedAt": "2026-10-08T23:07:23.379977+00:00"
     },
+    "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-m-learned-entropy0p01|2026-10-06T15:00:27+00:00|MetaX_c-500": {
+      "taskTypes": [
+        "feature_emb",
+        "text-generation",
+        "visual-multi-modal"
+      ],
+      "updatedAt": "2026-10-08T23:10:56.140358+00:00"
+    },
     "https://modelscope.cn/models/IFM/LoopedLM-P2-huginn-m-learned-entropy0p01|2026-10-06T15:00:27+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
@@ -1680,6 +1760,14 @@
       ],
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+    "https://modelscope.cn/models/vllm-sr/qwen3_mmlu_math-reasoner_no_leakage_r32|2026-10-08T03:47:27+00:00|MetaX_c-500": {
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         "text-generation",
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         "text-to-image-generation",
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         "text-to-image-generation",
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     "https://modelscope.cn/models/voconly/nemotron-3.5-asr-streaming-0.6b-gguf|2026-08-26T04:39:25+00:00|Kunlunxin_p-800": {
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@@ -6131,7 +6112,7 @@
         "text-generation",
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     "https://modelscope.cn/models/voconly/parakeet-unified-en-0.6b-gguf|2026-08-26T04:39:36+00:00|Iluvatar_mrv-100": {
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         "text-to-image-generation",
         "visual-multi-modal"
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-      "updatedAt": "2026-10-08T22:58:25.950085+00:00"
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         "text-generation",
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-      "updatedAt": "2026-10-08T22:58:26.142022+00:00"
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     "https://modelscope.cn/models/voconly/whisper-large-v3-turbo-gguf|2026-08-26T04:39:43+00:00|Iluvatar_mrv-100": {
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@@ -6163,7 +6144,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
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-      "updatedAt": "2026-10-08T22:58:25.954343+00:00"
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     "https://modelscope.cn/models/voconly/whisper-large-v3-turbo-gguf|2026-08-26T04:39:43+00:00|Kunlunxin_p-800": {
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@@ -6177,7 +6158,7 @@
         "text-generation",
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-      "updatedAt": "2026-10-08T22:58:26.393521+00:00"
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     "https://modelscope.cn/models/woshiaxie/MoXiao_Qwen3.8_27B_GGUF|2026-09-29T09:47:33+00:00|Kunlunxin_p-800": {
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@@ -6191,7 +6172,7 @@
         "text-to-image-generation",
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-      "updatedAt": "2026-10-08T22:57:29.367939+00:00"
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     "https://modelscope.cn/models/wufubaoa/Nlp_Polylm_Assistant_13B_Text_Generation-15B-GGUF|2026-09-19T02:53:32+00:00|Ascend_910-b4": {
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@@ -6199,7 +6180,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
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-      "updatedAt": "2026-10-08T22:57:29.157142+00:00"
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     "https://modelscope.cn/models/wufubaoa/Nlp_Polylm_Assistant_13B_Text_Generation-15B-GGUF|2026-09-19T02:53:32+00:00|Iluvatar_bi-150": {
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@@ -6212,7 +6193,7 @@
         "vision_classification",
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-      "updatedAt": "2026-10-08T22:57:29.263327+00:00"
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     "https://modelscope.cn/models/wufubaoa/Nlp_Polylm_Assistant_13B_Text_Generation-15B-GGUF|2026-09-19T02:53:32+00:00|Iluvatar_mrv-100": {
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@@ -6235,14 +6216,14 @@
         "text-generation",
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     "https://modelscope.cn/models/wufubaoa/Nlp_Polylm_Assistant_13B_Text_Generation-15B-GGUF|2026-09-19T02:53:32+00:00|Mthreads_s4000": {
       "taskTypes": [
         "text-generation",
         "visual-multi-modal"
       ],
-      "updatedAt": "2026-10-08T22:57:29.062644+00:00"
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     "https://modelscope.cn/models/wufubaoa/Nlp_Polylm_Assistant_13B_Text_Generation-15B-GGUF|2026-09-19T02:53:32+00:00|hygon_k100-ai": {
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@@ -6259,7 +6240,7 @@
         "text-to-image-generation",
         "visual-multi-modal"
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-      "updatedAt": "2026-10-08T22:58:26.651592+00:00"
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     "https://modelscope.cn/models/z-lab/Qwen3.8-27B-DFlash2-GGUF|2026-08-25T14:22:45+00:00|Kunlunxin_p-800": {
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@@ -6273,7 +6254,7 @@
         "text-generation",
         "visual-multi-modal"
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-      "updatedAt": "2026-10-08T22:58:26.947770+00:00"
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     "https://modelscope.cn/models/zerodigest/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-YMQ-GGUF|2026-09-03T13:10:03+00:00|Kunlunxin_p-800": {
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@@ -6974,6 +6955,6 @@
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   ],
-  "taskTreeUpdatedAt": "2026-10-08T23:07:19.575202+00:00",
+  "taskTreeUpdatedAt": "2026-10-08T23:10:45.764234+00:00",
   "version": 1
 }
diff --git a/manifest.json b/manifest.json
index 03cd4f06d0..07430e8695 100644
--- a/manifest.json
+++ b/manifest.json
@@ -4,8 +4,8 @@
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-    ".modelhub_state/official_capabilities.json": "99b559f8a27957db5a4e4bef2406b0a2854d28cf752cbe532fd94dd03b1c3e8e",
+    ".modelhub_state/market_intelligence.json": "d84622345244a8ccb666d0c020e02b226f5499501ece633ca39e06c278d7054e",
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+  "generation": 22382,
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 }