6613 lines
235 KiB
JSON
6613 lines
235 KiB
JSON
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"https://modelscope.cn/models/ProCreations/Ternary-Bonsai-2-27B-MTP|2026-09-19T13:27:21+00:00|Biren_166m": {
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"https://modelscope.cn/models/RedHatAI/Llama-2-7b-chat-quantized.w8a8|2026-08-24T19:25:45+00:00|Cambricon_mlu-370-x8": {
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"https://modelscope.cn/models/RedHatAI/Llama-3.2-1B-Instruct-quantized.w8a8|2026-08-24T20:15:22+00:00|Ascend_910-b4": {
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},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W4A16-ACTORDER-compressed-tensors-test|2026-08-24T14:42:46+00:00|Cambricon_mlu-370-x4": {
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"updatedAt": "2026-09-21T16:27:58.059162+00:00"
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"updatedAt": "2026-09-21T16:27:58.156611+00:00"
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W4A16-compressed-tensors-test|2026-08-24T16:35:49+00:00|Mthreads_s4000": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W4A16-compressed-tensors-test|2026-08-24T16:35:49+00:00|hygon_k100-ai": {
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],
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"updatedAt": "2026-09-21T16:27:58.187846+00:00"
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8-Channel-A8-Dynamic-Per-Token-Test|2026-08-24T18:15:08+00:00|Mthreads_s4000": {
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},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token-2048-Samples|2026-08-24T14:43:36+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token-2048-Samples|2026-08-24T14:43:36+00:00|hygon_k100-ai": {
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},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token|2026-08-24T17:55:20+00:00|Ascend_910-b4": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token|2026-08-24T17:55:20+00:00|Cambricon_mlu-370-x4": {
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},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors|2026-08-24T18:12:10+00:00|Ascend_910-b4": {
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"text-to-image-generation",
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],
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"updatedAt": "2026-09-21T16:27:54.848329+00:00"
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},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors|2026-08-24T18:12:10+00:00|Cambricon_mlu-370-x4": {
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],
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"updatedAt": "2026-09-21T16:27:54.920881+00:00"
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors|2026-08-24T18:12:10+00:00|Mthreads_s4000": {
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],
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"updatedAt": "2026-09-21T16:27:54.891253+00:00"
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors|2026-08-24T18:12:10+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": "2026-09-21T16:27:54.954239+00:00"
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},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-nonuniform-test|2026-08-24T17:49:53+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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"updatedAt": "2026-09-21T16:27:56.033082+00:00"
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-nonuniform-test|2026-08-24T17:49:53+00:00|Ascend_910-b4": {
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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": "2026-09-21T16:27:55.992864+00:00"
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|
},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-nonuniform-test|2026-08-24T17:49:53+00:00|Cambricon_mlu-370-x4": {
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|
"visual-multi-modal"
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],
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"updatedAt": "2026-09-21T16:27:56.067302+00:00"
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},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-nonuniform-test|2026-08-24T17:49:53+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": "2026-09-21T16:27:56.114222+00:00"
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|
},
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|
"https://modelscope.cn/models/nm-testing/Meta-Llama-3.1-8B-Instruct-FP8-hf|2026-08-24T18:06:52+00:00|Biren_166m": {
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"taskTypes": [
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"https://modelscope.cn/models/nm-testing/nonuniform|2026-08-24T18:26:59+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/nm-testing/nonuniform|2026-08-24T18:26:59+00:00|Cambricon_mlu-370-x4": {
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"https://modelscope.cn/models/nm-testing/nonuniform|2026-08-24T18:26:59+00:00|Mthreads_s4000": {
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"https://modelscope.cn/models/nm-testing/nonuniform|2026-08-24T18:26:59+00:00|hygon_k100-ai": {
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"updatedAt": "2026-09-21T16:27:53.191100+00:00"
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"https://modelscope.cn/models/nm-testing/tinyllama-marlin24-w4a16-group128|2026-08-24T18:28:40+00:00|Cambricon_mlu-370-x4": {
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"taskTypes": [
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"https://modelscope.cn/models/nm-testing/tinyllama-marlin24-w4a16-group128|2026-08-24T18:28:40+00:00|Mthreads_s4000": {
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"updatedAt": "2026-09-21T16:27:52.573185+00:00"
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"https://modelscope.cn/models/nm-testing/tinyllama-marlin24-w4a16-group128|2026-08-24T18:28:40+00:00|hygon_k100-ai": {
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],
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"updatedAt": "2026-09-21T16:27:52.632952+00:00"
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"chineseName": "视觉问答",
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"id": "9",
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"name": "visual-question-answering",
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"chineseName": "视频问答",
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"id": "10",
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"chineseName": "文档理解",
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"id": "15",
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"name": "document-understanding",
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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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"chineseName": "图片生成视频",
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"id": "19",
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"level": 1,
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"chineseName": "统一多模态",
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"id": "20",
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"chineseName": "图片生成图片",
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"name": "visual-document-retrieval",
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"chineseName": "视频文本到文本理解",
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"id": "202",
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"level": 1,
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"name": "video-text-to-text",
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"id": "1",
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"name": "multi-modal",
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"id": "23",
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"level": 1,
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"name": "text-generation",
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"chineseName": "翻译",
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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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"name": "sentence-embedding",
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"chineseName": "特征抽取",
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"id": "38",
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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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"chineseName": "通用信息抽取",
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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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"name": "nlp",
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"name": "audio",
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"chineseName": "光学字符识别",
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"name": "ocr",
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"name": "human-face-body",
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"chineseName": "视觉分类",
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"id": "116",
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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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