3959 lines
137 KiB
JSON
3959 lines
137 KiB
JSON
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},
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"https://modelscope.cn/models/IFM/K2-Horizon-0.9B-GGUF|2026-10-16T15:32:57+00:00|Kunlunxin_p-800": {
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"https://modelscope.cn/models/IFM/K2-Horizon-0.9B-GGUF|2026-10-16T15:32:57+00:00|MetaX_c-500": {
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},
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"https://modelscope.cn/models/IFM/K2-Horizon-32B-FP8|2026-10-15T14:37:21+00:00|Sunrise_pt-200-x1": {
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},
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"reinforcement_learning",
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"text_classification",
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-1B-DSpark-gguf|2026-10-16T15:51:15+00:00|Iluvatar_mrv-100": {
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"visual-multi-modal"
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],
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},
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"visual-multi-modal"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-1B-DSpark|2026-10-15T12:08:27+00:00|Cambricon_mlu-370-x4": {
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],
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-1B-DSpark|2026-10-15T12:08:27+00:00|Iluvatar_mrv-100": {
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"visual-multi-modal"
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},
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},
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},
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-1B-DSpark|2026-10-15T12:08:27+00:00|hygon_k100-ai": {
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"taskTypes": [
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"text-generation",
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"text-to-image-generation",
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"visual-multi-modal"
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],
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"updatedAt": "2026-10-18T19:19:23.257172+00:00"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark-gguf|2026-10-16T15:51:32+00:00|Ascend_910-b3": {
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"text-generation",
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"text-to-image-generation",
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"visual-multi-modal"
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],
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark-gguf|2026-10-16T15:51:32+00:00|Ascend_910-b4": {
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"taskTypes": [
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"text-generation",
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"text-to-image-generation",
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"visual-multi-modal"
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],
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"updatedAt": "2026-10-18T19:19:08.754529+00:00"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark-gguf|2026-10-16T15:51:32+00:00|Iluvatar_mrv-100": {
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"taskTypes": [
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"asr",
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"text-generation",
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"text-to-image-generation",
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"visual-multi-modal"
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],
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"updatedAt": "2026-10-18T19:19:08.956210+00:00"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark-gguf|2026-10-16T15:51:32+00:00|MetaX_c-500": {
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"taskTypes": [
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"feature_emb",
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"text-generation",
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"visual-multi-modal"
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"updatedAt": "2026-10-18T19:19:08.845441+00:00"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark-gguf|2026-10-16T15:51:32+00:00|Sunrise_pt-200-x1": {
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark|2026-10-15T12:08:23+00:00|Ascend_910-b3": {
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"taskTypes": [
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"text-generation",
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"text-to-image-generation",
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"visual-multi-modal"
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],
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"updatedAt": "2026-10-18T19:19:23.192637+00:00"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark|2026-10-15T12:08:23+00:00|Ascend_910-b4": {
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"taskTypes": [
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"text-generation",
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"text-to-image-generation",
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"visual-multi-modal"
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],
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"updatedAt": "2026-10-18T19:19:23.252104+00:00"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark|2026-10-15T12:08:23+00:00|Cambricon_mlu-370-x4": {
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"text-to-image-generation",
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"visual-multi-modal"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.7-35B-A3B-DSpark|2026-10-15T12:08:23+00:00|Iluvatar_mrv-100": {
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"taskTypes": [
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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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"https://modelscope.cn/models/mrm8488/mistral-7b-ft-h4-no_robots_instructions|2026-10-15T08:32:12+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/mrm8488/mistral-7b-ft-h4-no_robots_instructions|2026-10-15T08:32:12+00:00|Iluvatar_mrv-100": {
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"children": [],
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"chineseName": "文档理解",
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"id": "15",
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"children": [],
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"chineseName": "多模态对话",
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"id": "18",
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},
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"children": [],
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"chineseName": "图片生成视频",
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"id": "19",
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"level": 1,
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"name": "image-to-video",
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},
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"children": [],
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"chineseName": "统一多模态",
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"id": "20",
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"level": 1,
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"name": "any-to-any",
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"chineseName": "图片生成图片",
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"id": "21",
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"level": 1,
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"name": "image-to-image",
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"chineseName": "具身智能",
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"chineseName": "音频文本到文本理解",
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"chineseName": "视频文本到文本理解",
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"id": "202",
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"id": "1",
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"name": "multi-modal",
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"chineseName": "文本生成",
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"id": "23",
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"name": "text-generation",
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"chineseName": "文本分类",
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"id": "24",
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"level": 1,
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"name": "text-classification",
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"chineseName": "翻译",
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"id": "27",
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"level": 1,
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"name": "translation",
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"chineseName": "文本摘要",
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"id": "28",
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"level": 1,
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"name": "text-summarization",
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"chineseName": "句子相似度",
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"name": "nli",
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"chineseName": "文本纠错",
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"chineseName": "文本向量",
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"level": 1,
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"name": "sentence-embedding",
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"chineseName": "特征抽取",
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"name": "table-question-answering",
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"chineseName": "问答",
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"name": "question-answering",
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"chineseName": "序列标注",
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"id": "42",
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"chineseName": "语义相关性",
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"id": "44",
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"name": "text-ranking",
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"chineseName": "通用信息抽取",
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"chineseName": "视觉文档理解",
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"id": "200",
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"name": "visual-document-retrieval",
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"name": "nlp",
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"chineseName": "视觉编辑",
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"name": "vision-editing",
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"name": "vision-segmentation",
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"name": "foundation-model-application",
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