wip: 4184 pt2 oci model support

[spiffcs]

Description

This PR follows up on #4279 by adding support for a new docker source ocimodelsource (naming pending 😄)

With this change users can do the following: syft -o json docker.io/ai/qwen3-vl | jq .:

They'll get an SBOM with a single package showing the gguf model and details for the model pulled from https://hub.docker.com/u/ai

Example of metadata extracted

 "metadata": {
        "modelFormat": "gguf",
        "modelName": "Qwen3-Vl-8B-Instruct",
        "modelVersion": "unknown",
        "hash": "321c13d3e93151b5",
        "license": "apache-2.0",
        "ggufVersion": 3,
        "architecture": "qwen3vl",
        "quantization": "Q4_K_M",
        "parameters": 8190735360,
        "tensorCount": 399,
        "header": {
          "general.base_model.0.name": "Qwen3 VL 8B Instruct",
          "general.base_model.0.organization": "Qwen",
          "general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct",
          "general.base_model.count": 1,
          "general.basename": "Qwen3-Vl-8B-Instruct",
          "general.file_type": 15,
          "general.finetune": "Instruct",
          "general.quantization_version": 2,
          "general.quantized_by": "Unsloth",
          "general.repo_url": "https://huggingface.co/unsloth",
          "general.size_label": "8B",
          "general.tags": {
            "type": 8,
            "len": 2,
            "startOffset": 741,
            "size": 41
          },
          "general.type": "model",
          "quantize.imatrix.chunks_count": 694,
          "quantize.imatrix.dataset": "unsloth_calibration_Qwen3-VL-8B-Instruct.txt",
          "quantize.imatrix.entries_count": 252,
          "quantize.imatrix.file": "Qwen3-VL-8B-Instruct-GGUF/imatrix_unsloth.gguf",
          "qwen3vl.attention.head_count": 32,
          "qwen3vl.attention.head_count_kv": 8,
          "qwen3vl.attention.key_length": 128,
          "qwen3vl.attention.layer_norm_rms_epsilon": 0.000001,
          "qwen3vl.attention.value_length": 128,
          "qwen3vl.block_count": 36,
          "qwen3vl.context_length": 262144,
          "qwen3vl.embedding_length": 4096,
          "qwen3vl.feed_forward_length": 12288,
          "qwen3vl.n_deepstack_layers": 3,
          "qwen3vl.rope.dimension_sections": {
            "type": 5,
            "len": 4,
            "startOffset": 1268,
            "size": 16
          },
          "qwen3vl.rope.freq_base": 5000000,
         "tokenizer.ggml.add_bos_token": false,
          "tokenizer.ggml.bos_token_id": 151643,
          "tokenizer.ggml.eos_token_id": 151645,
          "tokenizer.ggml.merges": {
            "type": 8,
            "len": 151387,
            "startOffset": 3197544,
            "size": 2731548
          },

A larger google doc is being put together to go over the choices made in this PR and changes we need to make so that pt1/pt2 are working together as intended

Type of change

• [ ] New feature (non-breaking change which adds functionality)

Checklist:

• [ ] I have tested my code in common scenarios and confirmed there are no regressions
• [ ] I have added comments to my code, particularly in hard-to-understand sections