378  torchserve - configuration reference

379 torchserve — configuration reference

Configuration surfaces for torchserve (safety class: safe; category: o-02-compute-serving-infrastructure) — detected from the upstream documentation at generation time (6 config-surface markers). The invocation reference stays on the main tool page.

379.1 Configuration files

No config-file paths surfaced in the upstream README at generation time — the tool likely takes options through flags or environment instead; see upstream.

379.2 Environment variables

Variable	Upstream context
HUGGINGFACE_HUB_TOKEN	ck Start LLM Deployment with Docker ``bash #export token=<HUGGINGFACE_HUB_TOKEN> docker build --pull . -f docker/Dockerfile.vllm | |HUGGING_FACE_HUB_TOKEN`

Names extracted heuristically from upstream docs — verify each against the tool’s own docs before use.

379.3 Sample configuration (upstream)

# Make sure to install torchserve with python venv as described above and login with `huggingface-cli login`
# pip install -U --use-deprecated=legacy-resolver -r requirements/trt_llm.txt
python -m ts.llm_launcher --model_id meta-llama/Meta-Llama-3.1-8B-Instruct --engine trt_llm --disable_token_auth

# Try it out
curl -X POST -d '{"prompt":"count from 1 to 9 in french ", "max_tokens": 100}' --header "Content-Type: application/json" "http://localhost:8080/predictions/model"

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ref: pin - verified 2026-10-14