These examples cover a variety of use cases on Baseten, from deploying your first LLM and image generation to transcription, embeddings, and RAG pipelines. Whether you’re optimizing inference with TensorRT-LLM or deploying a model with Truss, these guides help you build and scale efficiently.

Deploy your first model

Fast LLMs with TensorRT-LLM

Run any LLM with vLLM

Deploy LLMs with SGLang

Transcribe audio with a Chain

Embeddings with BEI

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Model library

For a quick start, explore the model library with prebuilt, ready to deploy in one click models like DeepSeek, Llama, and Qwen.

DeepSeek R1

Whisper V3

Qwen 2.5 32B Coder Instruct

Llama 3.3 70B Instruct

flux-schnell

MARS6