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-decode-threads-batch.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 """
-Decode throughput benchmark for frank-default-large.
+Decode throughput benchmark for frank-large.
 Starts the server with a given --threads-batch value, sends an 8K+ token prompt,
 generates 256 tokens, measures generation tok/s.
 
@@ -13,7 +13,7 @@ SERVE = "/home/dank/GitPackages/ROCmFPX/build-qwen38/bin/llama-server"
 PORT = 7770
 N_GEN = 256
 PROMPT_FILE = "/tmp/bench-prompts/prompt_code.txt"
-ENV_FILE = os.path.join(os.path.dirname(__file__), "frank-default-large.env")
+ENV_FILE = os.path.join(os.path.dirname(__file__), "frank-large.env")
 SERVER_DIR = os.path.dirname(SERVE)
 ROCM_PATH = "/opt/rocm"
 
@@ -59,7 +59,7 @@ def wait_ready():
 def send_request(prompt, max_tokens=N_GEN):
     """Send chat completion, measure generation throughput."""
     body = json.dumps({
-        "model": "frank-default-large",
+        "model": "frank-large",
         "messages": [{"role": "user", "content": prompt}],
         "max_tokens": max_tokens,
         "stream": False,