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# Jais

[Jais](https://huggingface.co/inceptionai/jais-13b) is an Arabic-English bilingual language model from Inception (formerly G42/Inception AI), trained on a large Arabic and English corpus.

|                  |                                                   |
| ---------------- | ------------------------------------------------- |
| **Task**         | Text Generation                                   |
| **Architecture** | `JAISLMHeadModel`                                 |
| **Parameters**   | 13B – 30B                                         |
| **HF Org**       | [inceptionai](https://huggingface.co/inceptionai) |

## Available Models

* **jais-30b-chat-v3**: 30B
* **jais-30b-v3**: 30B base
* **jais-13b-chat**: 13B
* **jais-13b**: 13B base

## Architecture

* `JAISLMHeadModel`

## Example HF Models

| Model            | HF ID                                                                                 |
| ---------------- | ------------------------------------------------------------------------------------- |
| Jais 13B         | [`inceptionai/jais-13b`](https://huggingface.co/inceptionai/jais-13b)                 |
| Jais 13B Chat    | [`inceptionai/jais-13b-chat`](https://huggingface.co/inceptionai/jais-13b-chat)       |
| Jais 30B v3      | [`inceptionai/jais-30b-v3`](https://huggingface.co/inceptionai/jais-30b-v3)           |
| Jais 30B Chat v3 | [`inceptionai/jais-30b-chat-v3`](https://huggingface.co/inceptionai/jais-30b-chat-v3) |

## Try with NeMo AutoModel

Install NeMo AutoModel and follow the fine-tuning guide to configure a recipe for this model.

**1. Install** ([full instructions](/get-started/installation)):

```bash
pip install nemo-automodel
```

**2. Clone the repo** to get example recipes you can adapt:

```bash
git clone https://github.com/NVIDIA-NeMo/Automodel.git
cd Automodel
```

**3. Fine-tune** by adapting a base LLM recipe — override the model ID on the CLI:

```bash
automodel --nproc-per-node=8 examples/llm_finetune/llama3_2/llama3_2_1b_squad.yaml \
  --model.pretrained_model_name_or_path <MODEL_HF_ID>
```

Replace `<MODEL_HF_ID>` with the model ID from **Example HF Models** above.

**1. Pull the container** and mount a checkpoint directory:

```bash
docker run --gpus all -it --rm \
  --shm-size=8g \
  -v $(pwd)/checkpoints:/opt/Automodel/checkpoints \
  nvcr.io/nvidia/nemo-automodel:26.04.00
```

**2.** The recipes are at `/opt/Automodel/examples/` — navigate there:

```bash
cd /opt/Automodel
```

**3. Fine-tune**:

```bash
automodel --nproc-per-node=8 examples/llm_finetune/llama3_2/llama3_2_1b_squad.yaml \
  --model.pretrained_model_name_or_path <MODEL_HF_ID>
```

See the [Installation Guide](/get-started/installation) and [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft).

## Fine-Tuning

See the [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft).

## Hugging Face Model Cards

* [inceptionai/jais-13b](https://huggingface.co/inceptionai/jais-13b)