6554 lines
231 KiB
JSON
6554 lines
231 KiB
JSON
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-1.2B-RAG-GGUF|2026-08-12T17:08:49+00:00|Cambricon_mlu-370-x8": {
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"https://modelscope.cn/models/LiquidAI/LFM2-1.2B-Tool-GGUF|2026-08-12T12:16:59+00:00|Cambricon_mlu-370-x8": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-2.6B-Transcript-GGUF|2026-08-12T18:32:48+00:00|Cambricon_mlu-370-x8": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-2.6B-Transcript-GGUF|2026-08-12T18:32:48+00:00|Iluvatar_mrv-100": {
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},
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-350M-Extract-GGUF|2026-08-12T12:13:33+00:00|Cambricon_mlu-370-x8": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-350M-Extract-GGUF|2026-08-12T12:13:33+00:00|Iluvatar_mrv-100": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-350M-Extract-GGUF|2026-08-12T12:13:33+00:00|Vastai_va16": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-350M-Math-GGUF|2026-08-12T12:15:33+00:00|Cambricon_mlu-370-x8": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-350M-Math-GGUF|2026-08-12T12:15:33+00:00|Iluvatar_mrv-100": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2-350M-Math-GGUF|2026-08-12T12:15:33+00:00|Vastai_va16": {
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},
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},
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"https://modelscope.cn/models/LiquidAI/LFM2.5-2.6B-DSpark-GGUF|2026-08-21T12:10:05+00:00|Iluvatar_mrv-100": {
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},
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},
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"https://modelscope.cn/models/LiquidAI/LFM2.5-8B-A1B-DSpark-GGUF|2026-08-21T12:08:19+00:00|Cambricon_mlu-370-x8": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2.5-8B-A1B-DSpark-GGUF|2026-08-21T12:08:19+00:00|Iluvatar_mrv-100": {
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},
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"https://modelscope.cn/models/LiquidAI/LFM2.5-8B-A1B-DSpark-GGUF|2026-08-21T12:08:19+00:00|Vastai_va16": {
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},
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"https://modelscope.cn/models/Lpzhan/qwen25-vl-spec|2026-08-12T04:43:51+00:00|Ascend_910-b3": {
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},
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"https://modelscope.cn/models/Lpzhan/qwen25-vl-spec|2026-08-12T04:43:51+00:00|Ascend_910-b4": {
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],
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},
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"https://modelscope.cn/models/Lpzhan/qwen25-vl-spec|2026-08-12T04:43:51+00:00|Cambricon_mlu-370-x8": {
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],
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},
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"https://modelscope.cn/models/Lpzhan/qwen25-vl-spec|2026-08-12T04:43:51+00:00|Iluvatar_mrv-100": {
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"visual-multi-modal"
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],
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},
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"https://modelscope.cn/models/Lpzhan/qwen25-vl-spec|2026-08-12T04:43:51+00:00|Vastai_va16": {
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},
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"https://modelscope.cn/models/Lpzhan/qwen25-vl-spec|2026-08-12T04:43:51+00:00|hygon_k100-ai": {
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"taskTypes": [
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"text-to-image-generation",
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],
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"updatedAt": "2026-09-10T03:00:50.270909+00:00"
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},
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"https://modelscope.cn/models/Markccc/qwen3-14b-lora|2026-08-09T14:18:06+00:00|Ascend_910-b3": {
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"taskTypes": [
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"text-generation",
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],
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},
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"taskTypes": [
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"visual-multi-modal"
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],
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},
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"https://modelscope.cn/models/Markccc/qwen3-14b-lora|2026-08-09T14:18:06+00:00|Vastai_va16": {
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|
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],
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},
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"https://modelscope.cn/models/MooreThreads/DeepSeek-V4-Flash-0731-FP8-mt|2026-08-10T16:50:23+00:00|Ascend_910-b3": {
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"taskTypes": [
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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/MooreThreads/DeepSeek-V4-Flash-0731-FP8-mt|2026-08-10T16:50:23+00:00|Ascend_910-b4": {
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"visual-multi-modal"
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],
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},
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"https://modelscope.cn/models/MooreThreads/DeepSeek-V4-Flash-0731-FP8-mt|2026-08-10T16:50:23+00:00|Cambricon_mlu-370-x8": {
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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/MooreThreads/DeepSeek-V4-Flash-0731-FP8-mt|2026-08-10T16:50:23+00:00|Iluvatar_mrv-100": {
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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/MooreThreads/DeepSeek-V4-Flash-0731-FP8-mt|2026-08-10T16:50:23+00:00|Vastai_va16": {
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},
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"https://modelscope.cn/models/MooreThreads/DeepSeek-V4-Flash-0731-FP8-mt|2026-08-10T16:50:23+00:00|hygon_k100-ai": {
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"taskTypes": [
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"text-to-image-generation",
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"visual-multi-modal"
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],
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"updatedAt": "2026-09-10T03:00:51.232277+00:00"
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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM5-1B-GGUF|2026-08-17T12:40:01+00:00|Cambricon_mlu-370-x8": {
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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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},
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"https://modelscope.cn/models/OpenBMB/MiniCPM5-1B-GGUF|2026-08-17T12:40:01+00:00|Iluvatar_mrv-100": {
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"https://modelscope.cn/models/ornith-ai/Ornith-1.5-35B-A3B-MLX|2026-08-20T03:02:20+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/unsloth/LFM2.5-1.2B-Thinking-GGUF|2026-08-12T14:06:08+00:00|Cambricon_mlu-370-x8": {
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"https://modelscope.cn/models/unsloth/LFM2.5-8B-A1B-GGUF|2026-08-06T13:54:01+00:00|Cambricon_mlu-370-x8": {
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"https://modelscope.cn/models/unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF|2026-08-14T13:36:00+00:00|Ascend_910-b3": {
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"children": [],
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"chineseName": "视觉问答",
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"id": "9",
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"level": 1,
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"name": "visual-question-answering",
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},
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"children": [],
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"chineseName": "视频问答",
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"createTime": "2025-08-08 08:52:06",
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"id": "10",
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"level": 1,
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"logoUrl": null,
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"name": "video-question-answering",
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},
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"children": [],
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"chineseName": "文档理解",
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"id": "15",
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"level": 1,
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"logoUrl": null,
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"name": "document-understanding",
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},
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"children": [],
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"chineseName": "多模态对话",
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"createTime": "2025-08-08 08:52:06",
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"id": "18",
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"level": 1,
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"name": "multimodal-dialogue",
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},
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"children": [],
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"chineseName": "统一多模态",
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"createTime": "2025-08-08 08:52:06",
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"id": "20",
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"level": 1,
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"logoUrl": null,
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"name": "any-to-any",
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},
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"children": [],
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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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"children": [],
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"chineseName": "视频文本到文本理解",
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"id": "202",
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"name": "video-text-to-text",
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"chineseName": "音频文本到文本理解",
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"id": "201",
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"level": 1,
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"name": "audio-text-to-text",
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"children": [],
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"chineseName": "跨模态检索",
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"createTime": "2025-12-22 17:00:44",
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"id": "200",
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"level": 1,
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"logoUrl": null,
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"name": "visual-document-retrieval",
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"chineseName": "多模态",
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"id": "1",
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"level": 0,
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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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"level": 1,
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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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"chineseName": "预训练",
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"name": "nli",
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"name": "text-error-correction",
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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": "feature-extraction",
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"level": 1,
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"logoUrl": null,
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"name": "table-question-answering",
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"name": "question-answering",
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"name": "token-classification",
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"chineseName": "语义相关性",
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"name": "text-ranking",
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"name": "text2text-generation",
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"id": "50",
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"name": "universal-information-extraction",
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"name": "chatbot",
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"chineseName": "多项选择题问答",
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"level": 1,
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"name": "nlp",
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"id": "54",
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"name": "audio",
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"name": "ocr",
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"chineseName": "视觉分类",
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"chineseName": "视觉编辑",
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"name": "vision-editing",
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"chineseName": "视觉分割",
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"name": "vision-segmentation",
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"chineseName": "视觉生成",
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"level": 1,
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"name": "foundation-model-application",
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