6543 lines
230 KiB
JSON
6543 lines
230 KiB
JSON
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"https://modelscope.cn/models/LibertAIDAI/GLM-5.3-NVFP4|2026-08-29T14:48:12+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/LibertAIDAI/GLM-5.3-NVFP4|2026-08-29T14:48:12+00:00|hygon_k100-ai": {
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"https://modelscope.cn/models/LiquidAI/LFM2-24B-A2B-GGUF|2026-08-26T12:20:53+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/LiquidAI/LFM2-24B-A2B-GGUF|2026-08-26T12:20:53+00:00|Kunlunxin_p-800": {
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"https://modelscope.cn/models/LiquidAI/LFM2-700M-GGUF|2026-08-31T12:41:24+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/amd/gpt-oss-20b-BF16-w8a8-llmcompressor|2026-09-04T14:33:33+00:00|Cambricon_mlu-370-x4": {
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},
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"https://modelscope.cn/models/aplux/Qwen2.5-1.5b-instruct-gguf|2026-08-27T08:11:23+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/aplux/Qwen2.5-1.5b-instruct-gguf|2026-08-27T08:11:23+00:00|MetaX_c-500": {
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"https://modelscope.cn/models/aplux/Qwen2.5-1.5b-instruct-gguf|2026-08-27T08:11:23+00:00|hygon_k100-ai": {
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"https://modelscope.cn/models/apodex/Apodex-1.1-mini-GPTQ-Int4|2026-08-26T16:41:11+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/apodex/Apodex-1.1-mini|2026-08-26T17:58:02+00:00|Ascend_910-b3": {
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},
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"https://modelscope.cn/models/b77968543/Spark-X2.5-4B-Q8_0|2026-09-01T15:35:36+00:00|Cambricon_mlu-370-x4": {
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},
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"https://modelscope.cn/models/b77968543/Spark-X2.5-4B-Q8_0|2026-09-01T15:35:36+00:00|Cambricon_mlu-370-x8": {
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},
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"https://modelscope.cn/models/b77968543/Spark-X2.5-4B-Q8_0|2026-09-01T15:35:36+00:00|Kunlunxin_p-800": {
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},
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"https://modelscope.cn/models/b77968543/Spark-X2.5-4B-Q8_0|2026-09-01T15:35:36+00:00|MetaX_c-500": {
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},
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"https://modelscope.cn/models/bartowski/Ling-3.0-flash-Fin-GGUF|2026-09-04T09:15:50+00:00|Ascend_910-b3": {
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],
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},
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"https://modelscope.cn/models/bartowski/Ling-3.0-flash-Fin-GGUF|2026-09-04T09:15:50+00:00|Cambricon_mlu-370-x4": {
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"visual-multi-modal"
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"updatedAt": "2026-10-13T11:05:09.153850+00:00"
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},
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"https://modelscope.cn/models/bartowski/Ling-3.0-flash-Fin-GGUF|2026-09-04T09:15:50+00:00|Cambricon_mlu-370-x8": {
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],
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"updatedAt": "2026-10-13T11:05:09.067618+00:00"
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},
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"https://modelscope.cn/models/bartowski/Ling-3.0-flash-Fin-GGUF|2026-09-04T09:15:50+00:00|Kunlunxin_p-800": {
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},
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"https://modelscope.cn/models/bartowski/Ling-3.0-flash-Fin-GGUF|2026-09-04T09:15:50+00:00|MetaX_c-500": {
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"taskTypes": [
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],
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"updatedAt": "2026-10-13T11:05:08.812885+00:00"
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},
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"https://modelscope.cn/models/bartowski/Ling-3.0-flash-Fin-GGUF|2026-09-04T09:15:50+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": "2026-10-13T11:05:08.968168+00:00"
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},
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"https://modelscope.cn/models/bartowski/darkps_ice-AI-GGUF|2026-08-31T20:07:18+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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],
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"updatedAt": "2026-10-13T11:05:25.862525+00:00"
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},
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"https://modelscope.cn/models/bartowski/darkps_ice-AI-GGUF|2026-08-31T20:07:18+00:00|Cambricon_mlu-370-x4": {
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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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"https://modelscope.cn/models/ewinregirgojr/Qwen3.8-14B-Instruct-Turbo-GGUF|2026-08-31T23:32:37+00:00|Cambricon_mlu-370-x4": {
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},
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"https://modelscope.cn/models/ibm-granite/granite-4.2-30b|2026-09-05T14:06:16+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/inceptionai/Jais-2-70B-Chat|2026-08-26T20:10:10+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA-Omni|2026-08-26T18:46:06+00:00|Ascend_910-b3": {
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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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"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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"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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"chineseName": "具身智能",
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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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"id": "23",
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"name": "text-generation",
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"id": "24",
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"name": "text-classification",
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"id": "27",
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"level": 1,
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"name": "text-summarization",
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"name": "nli",
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"level": 1,
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"name": "sentence-embedding",
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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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"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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"id": "200",
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"name": "visual-document-retrieval",
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"name": "nlp",
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"name": "vision-editing",
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"name": "foundation-model-application",
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