sync scripts from remotes: ROCmFPX llama-server.service (dankclaw), dankserver vLLM serve/validate; drop failed-attempt scripts

- llama-server.service: dankclaw migrated to ROCmFPX runtime (Ling-3.0-flash,
  draft-mtp, no-mmap/direct-io) from regular llama.cpp Qwen3.6-27B-DFlash
- serve-vllm-qwen36-dflash.sh: dankserver version (relies on image 'vllm serve'
  entrypoint; HF cache mounted read-write)
- validate-vllm.sh: dankserver multi-stream vLLM validation (4 unique prompts,
  1-4 streams, prompt+completion speed)
- remove superseded scripts: serve-llamacpp-dflash.sh, validate.sh,
  vllm-awq-qwen36-dflash-ampere.sh, vllm-qwen36.service

scripts/serve-vllm-qwen36-dflash.sh

@@ -32,6 +32,7 @@ echo ""
 podman rm -f "${CONTAINER_NAME}" 2>/dev/null || true
 
 # Run vLLM in Podman container (foreground mode for systemd)
+# Note: vllm/vllm-openai image has entrypoint "vllm serve", so we pass args directly
 exec podman run --name "${CONTAINER_NAME}" \
   --device /dev/nvidia0 \
   --device /dev/nvidiactl \
@@ -39,10 +40,10 @@ exec podman run --name "${CONTAINER_NAME}" \
   --device /dev/nvidia-uvm-tools \
   --device /dev/nvidia-modeset \
   -v "${GPU_LIBS}:/usr/lib/x86_64-linux-gnu:ro" \
-  -v "${HF_CACHE}:/root/.cache/huggingface:ro" \
+  -v "${HF_CACHE}:/root/.cache/huggingface" \
   -p "${PORT}:${PORT}" \
   docker.io/vllm/vllm-openai:latest \
-  vllm serve "${MODEL}" \
+  "${MODEL}" \
     --port "${PORT}" \
     --host "0.0.0.0" \
     --kv-cache-dtype "${KV_CACHE_DTYPE}" \