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Copy file name to clipboardExpand all lines: docs/spec.md
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@@ -42,39 +42,39 @@ The image manifest of model artifacts follows the [OCI Image Manifest Specificat
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Implementations SHOULD support the following media types:
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-`application/vnd.cnai.model.weight.v1.raw`: The layer is an unarchived, uncompressed model weights file. If the model weight files are large, implementations are RECOMMENDED to use this media type.
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-`application/vnd.cnai.model.weight.v1.raw`: The layer is an unarchived, uncompressed model weights file.
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-`application/vnd.cnai.model.weight.v1.tar`: The layer is a [tar archive][tar-archive] that contains the model weight file. If the model has multiple weight files, they SHOULD be packaged into separate layers.
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-`application/vnd.cnai.model.weight.v1.tar+gzip`: The layer is a [tar archive][tar-archive] that includes the configuration file for the model weights. The archive is compressed with [gzip][rfc1952_2].
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-`application/vnd.cnai.model.weight.v1.tar+zstd`: The layer is a [tar archive][tar-archive] that includes the configuration file for the model weights. The archive is compressed with [zstd][rfc8478].
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-`application/vnd.cnai.model.weight.config.v1.raw`: The layer is a [tar archive][tar-archive] that includes config of the model weights like tokenizer.json, config.json, etc. If the model weight config files are large, implementations are RECOMMENDED to use this media type.
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-`application/vnd.cnai.model.weight.config.v1.raw`: The layer is a [tar archive][tar-archive] that includes config of the model weights like tokenizer.json, config.json, etc.
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-`application/vnd.cnai.model.weight.config.v1.tar`: The layer is a [tar archive][tar-archive] that includes config of the model weights like tokenizer.json, config.json, etc.
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-`application/vnd.cnai.model.weight.config.v1.tar+gzip`: The layer is a [tar archive][tar-archive] that includes config of the model weights like tokenizer.json, config.json, etc. The archive is compressed with [gzip][rfc1952_2].
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-`application/vnd.cnai.model.weight.config.v1.tar+zstd`: The layer is a [tar archive][tar-archive] that includes config of the model weights like tokenizer.json, config.json, etc. The archive is compressed with [zstd][rfc8478].
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-`application/vnd.cnai.model.doc.v1.raw`: The layer is an unarchived, uncompressed documentation file. If the documentation files are large, implementations are RECOMMENDED to use this media type.
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-`application/vnd.cnai.model.doc.v1.raw`: The layer is an unarchived, uncompressed documentation file.
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-`application/vnd.cnai.model.doc.v1.tar`: The layer is a [tar archive][tar-archive] that includes documentation files like `README.md`, `LICENSE`, etc.
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-`application/vnd.cnai.model.doc.v1.tar+gzip`: The layer is a [tar archive][tar-archive] that includes documentation files like `README.md`, `LICENSE`, etc. The archive is compressed with [gzip][rfc1952_2].
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-`application/vnd.cnai.model.doc.v1.tar+zstd`: The layer is a [tar archive][tar-archive] that includes documentation files like `README.md`, `LICENSE`, etc. The archive is compressed with [zstd][rfc8478].
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-`application/vnd.cnai.model.code.v1.raw`: The layer is an unarchived, uncompressed code artifact. If the code files are large, implementations are RECOMMENDED to use this media type.
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-`application/vnd.cnai.model.code.v1.raw`: The layer is an unarchived, uncompressed code artifact.
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-`application/vnd.cnai.model.code.v1.tar`: The layer is a [tar archive][tar-archive] that includes code artifacts like scripts, code files etc.
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-`application/vnd.cnai.model.code.v1.tar+gzip`: The layer is a [tar archive][tar-archive] that includes code artifacts like scripts, code files etc. The archive is compressed with [gzip][rfc1952_2].
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-`application/vnd.cnai.model.code.v1.tar+zstd`: The layer is a [tar archive][tar-archive] that includes code artifacts like scripts, code files etc. The archive is compressed with [zstd][rfc8478].
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-`application/vnd.cnai.model.dataset.v1.raw`: The layer is an unarchived, uncompressed dataset. If the dataset files are large, implementations are RECOMMENDED to use this media type.
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-`application/vnd.cnai.model.dataset.v1.raw`: The layer is an unarchived, uncompressed dataset.
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-`application/vnd.cnai.model.dataset.v1.tar`: The layer is a [tar archive][tar-archive] that includes datasets that may be needed for the lifecycle of AI/ML models.
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