---
title: Intern-S1
metatags:
    description: "Deploy Intern-S1 with SGLang - community contribution guide for InternLM's Intern-S1 model deployment."
---

import { InternS1Deployment } from '/src/snippets/autoregressive/intern-s1-deployment.jsx';

## 1. Model Introduction

Intern-S1 includes the large **Intern-S1** MoE model and the smaller **Intern-S1-mini** dense model. The command generator below covers BF16 and FP8 serving on NVIDIA H100/H200/B200/B300 platforms.

## 2. SGLang Installation

Refer to the [official SGLang installation guide](../../../docs/get-started/install), or install from source:

```bash Command
uv pip install 'git+https://github.com/sgl-project/sglang.git#subdirectory=python'
```

## 3. Model Deployment

### 3.1 Basic Configuration

<InternS1Deployment />

### 3.2 Configuration Tips

- FP8 checkpoints use the matching BF16 checkpoint as tokenizer path.
- B300 deployments use `--attention-backend flashinfer`.
- Enable `--reasoning-parser interns1` and `--tool-call-parser interns1` when your workload needs structured reasoning or tool-call parsing.
