Skip to content

Fix Ollama link in run-vllm.md #1987

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
dkundel-openai merged 1 commit into from
Aug 6, 2025
Merged

Fix Ollama link in run-vllm.md #1987

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion articles/gpt-oss/run-vllm.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

[vLLM](https://docs.vllm.ai/en/latest/) is an open-source, high-throughput inference engine designed to efficiently serve large language models (LLMs) by optimizing memory usage and processing speed. This guide will walk you through how to use vLLM to set up **gpt-oss-20b** or **gpt-oss-120b** on a server to serve gpt-oss as an API for your applications, and even connect it to the Agents SDK.

Note that this guide is meant for server applications with dedicated GPUs like NVIDIA’s H100s. For local inference on consumer GPUs, [check out our Ollama guide](https://cookbook.openai.com/articles/gpt-oss/run-vllm).
Note that this guide is meant for server applications with dedicated GPUs like NVIDIA’s H100s. For local inference on consumer GPUs, [check out our Ollama guide](https://cookbook.openai.com/articles/gpt-oss/run-locally-ollama).

## Pick your model

Expand Down