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/meta-reference-quantized-gpu/meta_reference.py

@@ -88,7 +88,6 @@ def get_distribution_template() -> DistributionTemplate:
         description="Use Meta Reference with fp8, int4 quantization for running LLM inference",
         template_path=Path(__file__).parent / "doc_template.md",
         providers=providers,
-        default_models=[inference_model],
         run_configs={
             "run.yaml": RunConfigSettings(
                 provider_overrides={