[Anyscale LLM serving template troubleshooting]: two deployment killers to check first. Gated Hugging Face models like Llama-3.1 fail auth unless you got prior authorization from the model org, so sort that out before deploying. And out-of-memory errors are the most common failure mode when serving LLMs, they get worse as model size and context length grow. The Anyscale serving troubleshooting guide has the fixes for the common ones.

Context: Anyscale LLM serving template troubleshooting: Hugging Face authentication errors happen with gated models like Llama-3.1, which require prior authorization from the model organization before deployment. Out-of-memory errors are one of the most common failure modes when deploying LLMs, growing worse as model size and context length increase. See the Anyscale LLM serving troubleshooting guide for the common errors and fixes.