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--------- Signed-off-by: Christopher Phillips <32073428+spiffcs@users.noreply.github.com>
38 lines
2.1 KiB
Go
38 lines
2.1 KiB
Go
package pkg
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// GGUFFileHeader represents metadata extracted from a GGUF (GPT-Generated Unified Format) model file.
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// GGUF is a binary file format used for storing model weights for the GGML library, designed for fast
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// loading and saving of models, particularly quantized large language models.
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// The Model Name, License, and Version fields have all been lifted up to be on the syft Package.
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type GGUFFileHeader struct {
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// GGUFVersion is the GGUF format version (e.g., 3)
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GGUFVersion uint32 `json:"ggufVersion" cyclonedx:"ggufVersion"`
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// FileSize is the size of the GGUF file in bytes (best-effort if available from resolver)
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FileSize int64 `json:"fileSize,omitempty" cyclonedx:"fileSize"`
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// Architecture is the model architecture (from general.architecture, e.g., "qwen3moe", "llama")
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Architecture string `json:"architecture,omitempty" cyclonedx:"architecture"`
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// Quantization is the quantization type (e.g., "IQ4_NL", "Q4_K_M")
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Quantization string `json:"quantization,omitempty" cyclonedx:"quantization"`
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// Parameters is the number of model parameters (if present in header)
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Parameters uint64 `json:"parameters,omitempty" cyclonedx:"parameters"`
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// TensorCount is the number of tensors in the model
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TensorCount uint64 `json:"tensorCount" cyclonedx:"tensorCount"`
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// RemainingKeyValues contains the remaining key-value pairs from the GGUF header that are not already
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// represented as typed fields above. This preserves additional metadata fields for reference
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// (namespaced with general.*, llama.*, etc.) while avoiding duplication.
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RemainingKeyValues map[string]interface{} `json:"header,omitempty" cyclonedx:"header"`
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// MetadataKeyValuesHash is a xx64 hash of all key-value pairs from the GGUF header metadata.
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// This hash is computed over the complete header metadata (including the fields extracted
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// into typed fields above) and provides a stable identifier for the model configuration
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// across different file locations or remotes. It allows matching identical models even
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// when stored in different repositories or with different filenames.
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MetadataKeyValuesHash string `json:"metadataHash,omitempty" cyclonedx:"metadataHash"`
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}
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