Skip to content

Conversation

@anthonsu
Copy link
Contributor

@anthonsu anthonsu commented Oct 13, 2025

What is included:

Reconstruct recipes of Llama and Qwen to include new TPU recipe' links.

(This new PR is based on Add links to new TPU recipes #84. If this new PR looks good, once it is merge, we can have the old one closed.)

@gemini-code-assist
Copy link
Contributor

Summary of Changes

Hello @anthonsu, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request expands the documentation for running large language models with vLLM by introducing new recipes for Llama 3.1 and Qwen3 models. It also enhances an existing Qwen2.5-VL guide, primarily focusing on integrating and clarifying instructions for TPU deployments. The changes aim to provide clearer, more comprehensive guidance for users leveraging vLLM on various accelerated computing stacks.

Highlights

  • New Llama 3.1 Recipe: A new quick start recipe for Llama 3.1 models (70B and 8B) on vLLM has been added, including specific links for TPU deployment on Trillium (v6e).
  • New Qwen3 Recipe: A new usage guide for the Qwen3 series on vLLM has been introduced, featuring TPU deployment links for 32B and 4B models on Trillium (v6e).
  • Qwen2.5-VL Recipe Update: The existing Qwen2.5-VL usage guide has been updated to include TPU deployment instructions and improve document structure by adjusting heading levels for better readability.
  • README Update: The main README file has been updated to include links to the newly added Llama 3.1 and Qwen3 recipes, making them discoverable from the main documentation.
Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request introduces new recipe documentation for Llama 3.1 and Qwen 3, with a focus on TPU deployment. It also effectively restructures the Qwen/Qwen2.5-VL.md file to logically separate TPU and GPU deployment instructions, which greatly improves the document's clarity. The changes are well-executed, and I have only a couple of minor suggestions to enhance consistency and readability in the Markdown files.

@anthonsu
Copy link
Contributor Author

Hi @youkaichao @simon-mo, could you please help review this PR? It is on top of the PR from Karan.

(I lack sufficient permissions to edit, so I drafted this new one to expedite the process.)

Thank you!

@mgoin mgoin merged commit 6626ee0 into vllm-project:main Oct 15, 2025
2 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants