> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sglang.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Reward models

These models output a scalar reward score or classification result, often used in reinforcement learning or content moderation tasks.

They are executed with `--is-embedding` and some may require `--trust-remote-code`.

## Example launch Command

<CodeGroup>
  ```shell Command theme={null}
  python3 -m sglang.launch_server \
    --model-path Qwen/Qwen2.5-Math-RM-72B \  # example HF/local path
    --is-embedding \
    --host 0.0.0.0 \
    --tp-size=4 \                          # set for tensor parallelism
    --port 30000 \
  ```
</CodeGroup>

## Supported models

| Model Family (Reward)                                              | Example HuggingFace Identifier             | Description                                                                                                    |
| ------------------------------------------------------------------ | ------------------------------------------ | -------------------------------------------------------------------------------------------------------------- |
| **Llama (3.1 Reward / `LlamaForSequenceClassification`)**          | `Skywork/Skywork-Reward-Llama-3.1-8B-v0.2` | Reward model (preference classifier) based on Llama 3.1 (8B) for scoring and ranking responses for RLHF.       |
| **Gemma 2 (27B Reward / `Gemma2ForSequenceClassification`)**       | `Skywork/Skywork-Reward-Gemma-2-27B-v0.2`  | Derived from Gemma‑2 (27B), this model provides human preference scoring for RLHF and multilingual tasks.      |
| **InternLM 2 (Reward / `InternLM2ForRewardMode`)**                 | `internlm/internlm2-7b-reward`             | InternLM 2 (7B)–based reward model used in alignment pipelines to guide outputs toward preferred behavior.     |
| **Qwen2.5 (Reward - Math / `Qwen2ForRewardModel`)**                | `Qwen/Qwen2.5-Math-RM-72B`                 | A 72B math-specialized RLHF reward model from the Qwen2.5 series, tuned for evaluating and refining responses. |
| **Qwen2.5 (Reward - Sequence / `Qwen2ForSequenceClassification`)** | `jason9693/Qwen2.5-1.5B-apeach`            | A smaller Qwen2.5 variant used for sequence classification, offering an alternative RLHF scoring mechanism.    |