fix: register provider model name and HF alias in run.yaml (#1304)

Each model known to the system has two identifiers: 

- the `provider_resource_id` (what the provider calls it) -- e.g.,
`accounts/fireworks/models/llama-v3p1-8b-instruct`
- the `identifier` (`model_id`) under which it is registered and gets
routed to the appropriate provider.

We have so far used the HuggingFace repo alias as the standardized
identifier you can use to refer to the model. So in the above example,
we'd use `meta-llama/Llama-3.1-8B-Instruct` as the name under which it
gets registered. This makes it convenient for users to refer to these
models across providers.

However, we forgot to register the _actual_ provider model ID also. You
should be able to route via `provider_resource_id` also, of course.

This change fixes this (somewhat grave) omission.

*Note*: this change is additive -- more aliases work now compared to
before.

## Test Plan

Run the following for distro=(ollama fireworks together)
```
LLAMA_STACK_CONFIG=$distro \
   pytest -s -v tests/client-sdk/inference/test_text_inference.py \
   --inference-model=meta-llama/Llama-3.1-8B-Instruct --vision-inference-model=""
```

llama_stack/templates/dev/dev.py

@@ -13,7 +13,6 @@ from llama_stack.distribution.datatypes import (
     ShieldInput,
     ToolGroupInput,
 )
-from llama_stack.models.llama.sku_list import all_registered_models
 from llama_stack.providers.inline.inference.sentence_transformers import (
     SentenceTransformersInferenceConfig,
 )
@@ -28,7 +27,7 @@ from llama_stack.providers.remote.inference.groq.config import GroqConfig
 from llama_stack.providers.remote.inference.groq.models import MODEL_ENTRIES as GROQ_MODEL_ENTRIES
 from llama_stack.providers.remote.inference.openai.config import OpenAIConfig
 from llama_stack.providers.remote.inference.openai.models import MODEL_ENTRIES as OPENAI_MODEL_ENTRIES
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
+from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
 
 
 def get_inference_providers() -> Tuple[List[Provider], List[ModelInput]]:
@@ -61,8 +60,7 @@ def get_inference_providers() -> Tuple[List[Provider], List[ModelInput]]:
         ),
     ]
     inference_providers = []
-    default_models = []
-    core_model_to_hf_repo = {m.descriptor(): m.huggingface_repo for m in all_registered_models()}
+    available_models = {}
     for provider_id, model_entries, config in providers:
         inference_providers.append(
             Provider(
@@ -71,21 +69,12 @@ def get_inference_providers() -> Tuple[List[Provider], List[ModelInput]]:
                 config=config,
             )
         )
-        default_models.extend(
-            ModelInput(
-                model_id=core_model_to_hf_repo[m.llama_model] if m.llama_model else m.provider_model_id,
-                provider_model_id=m.provider_model_id,
-                provider_id=provider_id,
-                model_type=m.model_type,
-                metadata=m.metadata,
-            )
-            for m in model_entries
-        )
-    return inference_providers, default_models
+        available_models[provider_id] = model_entries
+    return inference_providers, available_models
 
 
 def get_distribution_template() -> DistributionTemplate:
-    inference_providers, default_models = get_inference_providers()
+    inference_providers, available_models = get_inference_providers()
     providers = {
         "inference": ([p.provider_type for p in inference_providers] + ["inline::sentence-transformers"]),
         "vector_io": ["inline::sqlite-vec", "remote::chromadb", "remote::pgvector"],
@@ -139,6 +128,7 @@ def get_distribution_template() -> DistributionTemplate:
         },
     )
 
+    default_models = get_model_registry(available_models)
     return DistributionTemplate(
         name=name,
         distro_type="self_hosted",
@@ -146,7 +136,7 @@ def get_distribution_template() -> DistributionTemplate:
         container_image=None,
         template_path=None,
         providers=providers,
-        default_models=[],
+        available_models_by_provider=available_models,
         run_configs={
             "run.yaml": RunConfigSettings(
                 provider_overrides={