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

# LoRA Adapters

> Deploy LoRA fine-tuned language models on DeepInfra.

Deploy LoRA adapter models on top of base models hosted at DeepInfra. Your adapter is loaded on a supported base model and served with the standard OpenAI-compatible API.

## Prerequisites

1. A LoRA adapter model hosted on Hugging Face
2. A base model that supports LoRA at DeepInfra (see supported base models in the upload form)
3. A Hugging Face token if your LoRA adapter is private
4. A DeepInfra account and API key

## Deploy a LoRA model

1. Go to [Dashboard](https://deepinfra.com/dash)
2. Click **New Deployment**
3. Click the **LoRA Model** tab
4. Fill in the form:
   * **LoRA model name** — name used to reference this deployment
   * **Hugging Face Model Name** — path to your LoRA adapter on Hugging Face
   * **Hugging Face Token** — optional, required for private repos

## Example

Using the public adapter `askardeepinfra/llama-3.1-8B-rank-32-example-lora` (base: `meta-llama/Meta-Llama-3.1-8B-Instruct`):

1. Go to Dashboard → New Deployment → LoRA Model
2. Fill in:
   * **LoRA model name**: `asdf/lora-example`
   * **Hugging Face Model Name**: `askardeepinfra/llama-3.1-8B-rank-32-example-lora`
3. Click **Upload**

The deployment appears in [Dashboard → Deployments](https://deepinfra.com/dash/deployments). Initial state is `Initializing` → `Deploying` → `Running`.

Once running, your model page is at `https://deepinfra.com/asdf/lora-example`.

## Inference

```bash theme={null}
curl "https://api.deepinfra.com/v1/openai/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $DEEPINFRA_API_KEY" \
  -d '{
      "model": "asdf/lora-example",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    }'
```

The LoRA model name is used directly in the `model` field — the same as any other model.