6542 lines
233 KiB
JSON
6542 lines
233 KiB
JSON
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"https://modelscope.cn/models/aucaCQS/Spark-X2.5-4B-Coder-Flash|2026-09-20T11:34:53+00:00|Biren_166m": {
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},
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"https://modelscope.cn/models/bartowski/granite-4.2-3b-GGUF|2026-08-25T19:57:00+00:00|Kunlunxin_p-800": {
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},
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},
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"https://modelscope.cn/models/chenqi2026/7a-8elite|2026-09-16T14:30:58+00:00|Ascend_910-b4": {
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},
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"https://modelscope.cn/models/chenqi2026/7a-8elite|2026-09-16T14:30:58+00:00|Biren_166m": {
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},
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},
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},
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"https://modelscope.cn/models/dealignai/Bonsai-2-27B-1bit-CRACK-GGUF|2026-09-18T13:05:43+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-FP8-K-V|2026-08-24T16:40:22+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-FP8-K-V|2026-08-24T16:40:22+00:00|Kunlunxin_p-800": {
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},
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-Non-Uniform-compressed-tensors|2026-08-24T14:38:54+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-Non-Uniform-compressed-tensors|2026-08-24T14:38:54+00:00|Kunlunxin_p-800": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-Non-Uniform-compressed-tensors|2026-08-24T14:38:54+00:00|Mthreads_s4000": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W4-Group128-A16-Test|2026-08-24T14:45:05+00:00|Kunlunxin_p-800": {
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"https://modelscope.cn/models/nm-testing/Meta-Llama-3-8B-Instruct-W4-Group128-A16-Test|2026-08-24T14:45:05+00:00|Mthreads_s4000": {
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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|Ascend_910-b3": {
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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|Ascend_910-b4": {
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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|Kunlunxin_p-800": {
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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|hygon_k100-ai": {
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],
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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|Ascend_910-b3": {
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"updatedAt": "2026-09-21T09:02:17.265014+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|Kunlunxin_p-800": {
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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": "2026-09-21T09:02:17.328209+00:00"
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},
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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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"taskTypes": [
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],
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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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"updatedAt": "2026-09-21T09:02:20.227465+00:00"
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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-x8": {
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"updatedAt": "2026-09-21T09:02:20.262566+00:00"
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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|hygon_k100-ai": {
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],
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"updatedAt": "2026-09-21T09:02:19.565190+00:00"
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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-b3": {
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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|Mthreads_s4000": {
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"updatedAt": "2026-09-21T09:02:14.526486+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|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": "2026-09-21T09:02:13.727860+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|Ascend_910-b4": {
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],
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"updatedAt": "2026-09-21T09:02:13.689035+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|Kunlunxin_p-800": {
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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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"taskTypes": [
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|
"visual-multi-modal"
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|
],
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"updatedAt": "2026-09-21T09:02:13.658171+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|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": "2026-09-21T09:02:13.772712+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": "2026-09-21T09:02:15.446201+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-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": "2026-09-21T09:02:15.413727+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-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": "2026-09-21T09:02:15.485527+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|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": "2026-09-21T09:02:14.401014+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|Mthreads_s4000": {
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"taskTypes": [
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"text-generation",
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|
"visual-multi-modal"
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|
],
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|
"updatedAt": "2026-09-21T09:02:14.366788+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|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": "2026-09-21T09:02:14.435039+00:00"
|
|
},
|
|
"https://modelscope.cn/models/nm-testing/Meta-llama3-8b-Instruct-SmoothQuant-Fp8|2026-08-24T17:35:14+00:00|Ascend_910-b3": {
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|
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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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"https://modelscope.cn/models/nm-testing/SmolLM-135M-Instruct-quantized.w4a16|2026-08-24T15:14:56+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/nm-testing/llama-3-instruct-w8a8-dyn-per-token-test|2026-08-24T17:18:07+00:00|Ascend_910-b4": {
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"https://modelscope.cn/models/nm-testing/llama-3-instruct-w8a8-dyn-per-token-test|2026-08-24T17:18:07+00:00|Mthreads_s4000": {
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"https://modelscope.cn/models/nm-testing/llama-3-instruct-w8a8-dyn-per-token-test|2026-08-24T17:18:07+00:00|hygon_k100-ai": {
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"https://modelscope.cn/models/nm-testing/llama3-8b-w8_channel-a8_tensor-compressed|2026-08-24T16:03:28+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/nm-testing/llama3-8b-w8_channel-a8_tensor-compressed|2026-08-24T16:03:28+00:00|Kunlunxin_p-800": {
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"https://modelscope.cn/models/nm-testing/llama3-8b-w8_channel-a8_tensor-compressed|2026-08-24T16:03:28+00:00|Mthreads_s4000": {
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"https://modelscope.cn/models/nm-testing/llama3-8b-w8_channel-a8_tensor-compressed|2026-08-24T16:03:28+00:00|hygon_k100-ai": {
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t-alt|2026-08-24T17:02:50+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t-alt|2026-08-24T17:02:50+00:00|Ascend_910-b4": {
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t-alt|2026-08-24T17:02:50+00:00|Kunlunxin_p-800": {
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t-alt|2026-08-24T17:02:50+00:00|Mthreads_s4000": {
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t-alt|2026-08-24T17:02:50+00:00|hygon_k100-ai": {
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],
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"updatedAt": "2026-09-21T09:02:16.541855+00:00"
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},
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t|2026-08-24T16:38:03+00:00|Ascend_910-b3": {
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t|2026-08-24T16:38:03+00:00|Ascend_910-b4": {
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"taskTypes": [
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"updatedAt": "2026-09-21T09:02:16.614171+00:00"
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t|2026-08-24T16:38:03+00:00|Kunlunxin_p-800": {
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},
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"https://modelscope.cn/models/nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t|2026-08-24T16:38:03+00:00|hygon_k100-ai": {
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],
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"updatedAt": "2026-09-21T09:02:16.675271+00:00"
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},
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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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"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": "2026-09-21T09:02:12.085001+00:00"
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},
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"https://modelscope.cn/models/nm-testing/nonuniform|2026-08-24T18:26:59+00:00|Ascend_910-b4": {
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"taskTypes": [
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],
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"updatedAt": "2026-09-21T09:02:12.053898+00:00"
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},
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"https://modelscope.cn/models/nm-testing/nonuniform|2026-08-24T18:26:59+00:00|Kunlunxin_p-800": {
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},
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"https://modelscope.cn/models/nm-testing/nonuniform|2026-08-24T18:26:59+00:00|Mthreads_s4000": {
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],
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"updatedAt": "2026-09-21T09:02:12.023319+00:00"
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},
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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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],
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"updatedAt": "2026-09-21T09:02:12.118218+00:00"
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},
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"https://modelscope.cn/models/nm-testing/tinyllama-marlin24-w4a16-group128|2026-08-24T18:28:40+00:00|Ascend_910-b3": {
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"taskTypes": [
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"text-to-image-generation",
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],
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"updatedAt": "2026-09-21T09:02:11.922987+00:00"
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},
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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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"taskTypes": [
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],
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"updatedAt": "2026-09-21T09:02:11.892180+00:00"
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},
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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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"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": "2026-09-21T09:02:11.953013+00:00"
|
|
},
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|
"https://modelscope.cn/models/nm-testing/tinyllama-one-shot-w4a16-group-packed|2026-08-24T17:58:05+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": "2026-09-21T09:02:14.572908+00:00"
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},
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"https://modelscope.cn/models/nm-testing/tinyllama-one-shot-w4a16-group-packed|2026-08-24T17:58:05+00:00|Ascend_910-b4": {
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"taskTypes": [
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],
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"updatedAt": "2026-09-21T09:02:14.538645+00:00"
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},
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"https://modelscope.cn/models/nm-testing/tinyllama-one-shot-w4a16-group-packed|2026-08-24T17:58:05+00:00|Kunlunxin_p-800": {
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},
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"https://modelscope.cn/models/nm-testing/tinyllama-one-shot-w4a16-group-packed|2026-08-24T17:58:05+00:00|hygon_k100-ai": {
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"taskTypes": [
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],
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"updatedAt": "2026-09-21T09:02:14.611407+00:00"
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},
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"https://modelscope.cn/models/soyaakinohara/Spark-X2.5-4B-Heretic-jp-gguf|2026-09-18T14:23:00+00:00|Biren_166m": {
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"https://modelscope.cn/models/voconly/Qwen3-ASR-1.7B-gguf|2026-08-26T04:39:32+00:00|Biren_166m": {
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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/cohere-transcribe-03-2026-gguf|2026-08-26T04:39:19+00:00|Biren_166m": {
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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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"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|MetaX_c-500": {
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"https://modelscope.cn/models/voconly/nemotron-3.5-asr-streaming-0.6b-gguf|2026-08-26T04:39:25+00:00|Biren_166m": {
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"chineseName": "图片生成图片",
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"id": "21",
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"children": [],
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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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"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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},
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"children": [],
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"chineseName": "视频文本到文本理解",
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"createTime": "2025-12-22 17:00:46",
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"id": "202",
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"level": 1,
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"logoUrl": null,
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"name": "video-text-to-text",
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"parentId": "1",
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"sorting": 999,
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}
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"chineseName": "多模态",
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"createTime": "2025-08-08 08:52:06",
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"id": "1",
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"level": 0,
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"logoUrl": "https://modelhub.org.cn/api/computility/picture/26e9cfc9-086c-4d83-84ec-e5f9724fdd76.png",
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"name": "multi-modal",
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},
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"children": [
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{
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"children": [],
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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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"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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"id": "29",
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"level": 1,
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"name": "sentence-similarity",
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"chineseName": "预训练",
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"id": "30",
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"level": 1,
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"name": "fill-mask",
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"chineseName": "自然语言推理",
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"id": "31",
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"level": 1,
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"name": "nli",
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"chineseName": "文本纠错",
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"id": "32",
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"level": 1,
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"name": "text-error-correction",
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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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"chineseName": "特征抽取",
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"id": "34",
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"level": 1,
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"id": "37",
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"level": 1,
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"chineseName": "表格问答",
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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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"chineseName": "问答",
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"id": "39",
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"level": 1,
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"name": "question-answering",
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{
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"chineseName": "序列标注",
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"id": "42",
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"level": 1,
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"logoUrl": null,
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"name": "token-classification",
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"chineseName": "语义相关性",
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"id": "44",
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"level": 1,
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"name": "text-ranking",
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"chineseName": "端到端文本生成",
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"id": "47",
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"level": 1,
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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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"level": 1,
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"name": "universal-information-extraction",
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"chineseName": "聊天机器人",
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"id": "51",
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"level": 1,
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"name": "chatbot",
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"chineseName": "多项选择题问答",
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"id": "203",
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"level": 1,
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"name": "multiple-choice",
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"id": "22",
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"name": "nlp",
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"id": "54",
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"id": "194",
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"name": "audio",
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"name": "ocr",
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"name": "vision-editing",
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"name": "foundation-model-application",
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"level": 1,
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"logoUrl": null,
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"name": "text-to-image",
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"name": "cv",
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"id": "207",
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"level": 1,
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"name": "reinforcement-learning",
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