yolov8s-pothole-segmentation
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查看详情 ↗DISCOVER & COMPARE
探索 AI 模型 84999
yolov8s-protective-equipment-detection
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查看详情 ↗yolov8s-shoe-classification
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查看详情 ↗yolov8s-table-extraction
keremberke基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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查看详情 ↗yolov8s-valorant-detection
keremberke基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗ganjar_4
Kernel基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗DeepSeek-V4.1-Flash-MXFP4-GGUF
kernelpool基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗Kimi-K3-2bit-UVMAX
kernelpool基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗activation
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/activation that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated. - `silu_and_mul` - `mul_and_silu` - `gelu_and_mul` - `gelu_tanh_and_mul` - `fatrelu_and_mul` - `gelu_fast` - `gelu_new` - `gelu_quick` - `gelu_tanh` - `silu` - `gelu`
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查看详情 ↗bitsandbytes-mps
kernels-community基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗causal-conv1d
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/causal-conv1d that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated. Benchmarking script is available for this kernel. Run `kernels benchmark kernels-community/causal-conv1d`.
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查看详情 ↗cv-utils
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/cv-utils that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated.
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查看详情 ↗deep-gemm
kernels-community基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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查看详情 ↗deformable-detr
kernels-community基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗finegrained-fp8
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/finegrained-fp8 that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated.
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗flash-attn2
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/flash-attn2 that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated. - `flash_attn_func` - `flash_attn_kvpacked_func` - `flash_attn_qkvpacked_func` - `flash_attn_varlen_func` - `flash_attn_varlen_kvpacked_func` - `flash_attn_varlen_qkvpacked_func` - `flash_attn_with_kvcache` - `fwd` - `varlen_fwd` - `bwd` - `varlen_bwd` - `fwd_kvcache`
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查看详情 ↗flash-attn3
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/flash-attn3 that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated. - `flash_attn_combine` - `flash_attn_func` - `flash_attn_qkvpacked_func` - `flash_attn_varlen_func` - `flash_attn_with_kvcache` - `get_scheduler_metadata`
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查看详情 ↗flash-attn4
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/flash-attn4 that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated.
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kernels-community基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗gpt-oss-triton-kernels
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/gpt-oss-triton-kernels that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated.
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查看详情 ↗layer-norm
kernels-community基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗liger-kernels
kernels-community> [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/liger-kernels that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated.
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗暂未找到匹配模型
可以调整厂商、分类或输入输出条件；新模型正持续收录。
COST EXPLORER
好模型，也要算好成本。
调整月度 Token 用量，直观比较不同模型的预估 API 开支。
1 M = 100 万 Token · 美元计价
仅比较同一渠道的基础文本 Token 报价
仅比较同一渠道的基础文本 Token 报价
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照；不计缓存优惠、阶梯价、推理额外输出与税费，请以来源的当前报价为准。
MODEL HANDBOOK
读懂模型，再做选择
API 价格应该怎么比较？+
先区分输入、输出和缓存价格，再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费，不能直接与 Token 单价比较。
开放权重，就代表可以免费商用吗？+
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
排行榜第一，就是最适合我的模型吗？+
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本，再选择模型。