feat(llm): rename inference services dropping 'default' from names

frank-default-large -> frank-large (Dankclaw :7770), frank-default-small ->
frank-small (Dankserver :7770), frank-default-sightsound -> frank-npu
(Dankclaw :7771). Units, env files, serve scripts, deploy-plan mappings,
deploy-remote dispatch (stop/disable old units + relink + enable new), and the
test seams move together. Retired frank-default-npu.* artifacts moved to
scripts/.AGENTTRASH/ (tracked-in-history; ignored on disk).

Served aliases become frank-large / frank-small via --alias; the NPU endpoint
serves the whole FLM registry, so its rename changes no served tags.

scripts/bench-ngram-mod.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 """
-Benchmark n-gram speculative decoding vs no-spec for frank-default-large.
+Benchmark n-gram speculative decoding vs no-spec for frank-large.
 
 Tests prompt-processing throughput with 16K token prompts (manageable request size).
 Code-heavy prompt (high n-gram redundancy) vs prose prompt (low redundancy).
@@ -103,7 +103,7 @@ def start_server(port, spec_type):
 def run_test(prompt_text, spec_type, port):
     """Send a request and extract prompt processing metrics."""
     data = json.dumps({
-        "model": "frank-default-large",
+        "model": "frank-large",
         "messages": [{"role": "user", "content": prompt_text}],
         "max_tokens": TEST_TOKENS,
         "stream": False,
@@ -189,7 +189,7 @@ def main():
         print(f"  Prose: {prose_prompt_file.stat().st_size:,} bytes")
 
     print("=" * 60)
-    print("  N-gram Mod Benchmark — frank-default-large")
+    print("  N-gram Mod Benchmark — frank-large")
     print(f"  STRIX ROCmFP4 · 64K context · 16K prompts")
     print("=" * 60)