6425 lines
228 KiB
JSON
6425 lines
228 KiB
JSON
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"https://modelscope.cn/models/LiquidAI/LFM2.5-230M-GGUF|2026-09-23T12:19:36+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/LiquidAI/LFM2.5-230M-GGUF|2026-09-23T12:19:36+00:00|Iluvatar_mrv-100": {
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},
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"https://modelscope.cn/models/hf/dzannotti-Qwen3.8-Flash-Next-MTP-GGUF|2026-09-01T12:53:26+00:00|Iluvatar_mrv-100": {
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"https://modelscope.cn/models/ukisai/Swift-Bonsai-2-GGUF|2026-09-24T18:49:46+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/ukisai/Swift-Bonsai-2-GGUF|2026-09-24T18:49:46+00:00|Mthreads_s4000": {
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"https://modelscope.cn/models/ukisai/Swift-Bonsai-2-GGUF|2026-09-24T18:49:46+00:00|hygon_k100-ai": {
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},
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"https://modelscope.cn/models/voconly/Qwen3-ASR-1.7B-gguf|2026-08-26T04:39:32+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/voconly/Qwen3-ASR-1.7B-gguf|2026-08-26T04:39:32+00:00|Cambricon_mlu-370-x8": {
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},
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"https://modelscope.cn/models/voconly/Qwen3-ASR-1.7B-gguf|2026-08-26T04:39:32+00:00|Iluvatar_mrv-100": {
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"https://modelscope.cn/models/voconly/Qwen3-ASR-1.7B-gguf|2026-08-26T04:39:32+00:00|Kunlunxin_p-800": {
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"https://modelscope.cn/models/voconly/Qwen3-ASR-1.7B-gguf|2026-08-26T04:39:32+00:00|Vastai_va16": {
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"https://modelscope.cn/models/voconly/cohere-transcribe-03-2026-gguf|2026-08-26T04:39:19+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/voconly/cohere-transcribe-03-2026-gguf|2026-08-26T04:39:19+00:00|Cambricon_mlu-370-x8": {
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"https://modelscope.cn/models/voconly/cohere-transcribe-03-2026-gguf|2026-08-26T04:39:19+00:00|Iluvatar_mrv-100": {
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},
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"https://modelscope.cn/models/voconly/cohere-transcribe-03-2026-gguf|2026-08-26T04:39:19+00:00|Kunlunxin_p-800": {
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"https://modelscope.cn/models/voconly/cohere-transcribe-03-2026-gguf|2026-08-26T04:39:19+00:00|Vastai_va16": {
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"https://modelscope.cn/models/voconly/nemotron-3.5-asr-streaming-0.6b-gguf|2026-08-26T04:39:25+00:00|Cambricon_mlu-370-x4": {
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"id": "24",
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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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"chineseName": "句子相似度",
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"id": "29",
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"id": "30",
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"name": "fill-mask",
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"id": "31",
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"name": "nli",
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"id": "32",
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"chineseName": "文本向量",
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"id": "33",
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"level": 1,
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"name": "sentence-embedding",
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"id": "34",
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"chineseName": "表格问答",
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"id": "38",
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"chineseName": "问答",
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"id": "200",
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