Fetch Muse Glimmer serving tokenizer files from the non-GGUF repo (#24137)

The CUDA solo-text-batching serving smoke downloaded
tokenizer_config.json
and chat_template.jinja from ${HF_MODEL}
(meta-models/Muse-Glimmer-30B-GGUF).
That repo only ships GGUF weights, so the download 404s and the job has
failed recently even if the main test passed.

Fetch both files from $TOKENIZER_URL (meta-models/Muse-Glimmer-30B),
which is
where tokenizer.json already comes from. Use `curl -f` so a missing file
still fails the job.

Test plan: ran the new download loop locally against $TOKENIZER_URL;
both
files downloaded and tokenizer_config.json parses as JSON. `bash -n`
passes.
CI: test-muse-glimmer-cuda-e2e-kquant-17gb-solo-text-batching
(ciflow/cuda).

Author: Gasoonjia

.ci/scripts/test_model_e2e.sh

@@ -618,7 +618,9 @@ if [ "$DEVICE" = "cuda" ] && [ "$MODEL_NAME" = "muse_glimmer" ] && [ "$MODE" = "
     --mode requests --requests 5 --prompt_tokens 600 --max_new_tokens 64 --stagger_ms 200
 
   pip install -r examples/llm_server/python/requirements.txt
-  python -c "from huggingface_hub import hf_hub_download; [hf_hub_download('${HF_MODEL}', f, local_dir='${MODEL_DIR}') for f in ('tokenizer_config.json', 'chat_template.jinja')]"
+  for f in tokenizer_config.json chat_template.jinja; do
+    curl -fL --retry 3 --retry-all-errors "$TOKENIZER_URL/$f" -o "$MODEL_DIR/$f"
+  done
   PORT=$(python - <<'PY'
 import socket