Skip to content

[TRTLLM-9092][doc] Add a pre-quantized example in quick start guide #9223

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
merged 1 commit into from
Nov 19, 2025
Merged

[TRTLLM-9092][doc] Add a pre-quantized example in quick start guide #9223

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
7 changes: 7 additions & 0 deletions docs/source/quick-start-guide.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,13 @@ To start the server, you can run a command like the following example inside a D
trtllm-serve "TinyLlama/TinyLlama-1.1B-Chat-v1.0"
```

You may also deploy pre-quantized models to improve performance.
Ensure your GPU supports FP8 quantization before running the following:

```bash
trtllm-serve "nvidia/Qwen3-8B-FP8"
```

```{note}
If you are running trtllm-server inside a Docker container, you have two options for sending API requests:
1. Expose a port (e.g., 8000) to allow external access to the server from outside the container.
Expand Down
Loading