Fix nemotron-super preset and test_vllm model detection

Replace cyankiwi/Llama-3_3-Nemotron-Super-49B-v1_5-AWQ-4bit with
casperhansen/llama-3.3-70b-instruct-awq for the nemotron-super preset.
The NAS model's config.json has num_key_value_heads=null by design for
its heterogeneous per-layer attention architecture, which is incompatible
with vLLM's pydantic ModelConfig validation (requires int). No working
AWQ quant for this architecture exists; Llama-3.3-70B-Instruct AWQ is
a proven drop-in for the extended-analysis use case.

Also fix test_vllm to use the model reported by /v1/models instead of
the static config default, so tests pass after a model switch.

Add trust_remote_code support to vllm_install_script for future models
that require custom HuggingFace model code.

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>

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