py: let users add full base model and dataset to model_card

Author: mofosyne

gguf-py/gguf/metadata.py

@@ -400,6 +400,8 @@ def use_array_model_card_metadata(metadata_key: str, model_card_key: str):
                             if org_component is not None and model_full_name_component is not None:
                                 base_model["repo_url"] = f"https://huggingface.co/{org_component}/{model_full_name_component}"
 
+                    elif isinstance(model_id, dict):
+                        base_model = model_id
                     else:
                         logger.error(f"base model entry '{str(model_id)}' not in a known format")
                     metadata.base_models.append(base_model)
@@ -454,6 +456,8 @@ def use_array_model_card_metadata(metadata_key: str, model_card_key: str):
                             if org_component is not None and dataset_name_component is not None:
                                 dataset["repo_url"] = f"https://huggingface.co/{org_component}/{dataset_name_component}"
 
+                    elif isinstance(dataset_id, dict):
+                        dataset = dataset_id
                     else:
                         logger.error(f"dataset entry '{str(dataset_id)}' not in a known format")
                     metadata.datasets.append(dataset)

gguf-py/tests/test_metadata.py

@@ -197,6 +197,12 @@ def test_apply_metadata_heuristic_from_model_card(self):
         got = gguf.Metadata.apply_metadata_heuristic(gguf.Metadata(), model_card, None, None)
         self.assertEqual(got, expect)
 
+        # Base Model spec is given directly
+        model_card = {'base_models': [{'name': 'OpenHermes 2.5', 'organization': 'Teknium', 'version': '2.5', 'repo_url': 'https://huggingface.co/teknium/OpenHermes-2.5'}]}
+        expect = gguf.Metadata(base_models=[{'name': 'OpenHermes 2.5', 'organization': 'Teknium', 'version': '2.5', 'repo_url': 'https://huggingface.co/teknium/OpenHermes-2.5'}])
+        got = gguf.Metadata.apply_metadata_heuristic(gguf.Metadata(), model_card, None, None)
+        self.assertEqual(got, expect)
+
         # Dataset spec is inferred from model id
         model_card = {'datasets': 'teknium/OpenHermes-2.5'}
         expect = gguf.Metadata(datasets=[{'name': 'OpenHermes 2.5', 'organization': 'Teknium', 'version': '2.5', 'repo_url': 'https://huggingface.co/teknium/OpenHermes-2.5'}])
@@ -209,6 +215,12 @@ def test_apply_metadata_heuristic_from_model_card(self):
         got = gguf.Metadata.apply_metadata_heuristic(gguf.Metadata(), model_card, None, None)
         self.assertEqual(got, expect)
 
+        # Dataset spec is given directly
+        model_card = {'datasets': [{'name': 'OpenHermes 2.5', 'organization': 'Teknium', 'version': '2.5', 'repo_url': 'https://huggingface.co/teknium/OpenHermes-2.5'}]}
+        expect = gguf.Metadata(datasets=[{'name': 'OpenHermes 2.5', 'organization': 'Teknium', 'version': '2.5', 'repo_url': 'https://huggingface.co/teknium/OpenHermes-2.5'}])
+        got = gguf.Metadata.apply_metadata_heuristic(gguf.Metadata(), model_card, None, None)
+        self.assertEqual(got, expect)
+
     def test_apply_metadata_heuristic_from_hf_parameters(self):
         hf_params = {"_name_or_path": "./hermes-2-pro-llama-3-8b-DPO"}
         got = gguf.Metadata.apply_metadata_heuristic(gguf.Metadata(), model_card=None, hf_params=hf_params, model_path=None)