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# Solar Pro

[Solar Pro](https://huggingface.co/upstage/solar-pro-preview-instruct) is an enterprise language model from Upstage, built on a depth up-scaling technique applied to Llama-based architectures.

> **Info**
>
> |                  |                                           |
> | ---------------- | ----------------------------------------- |
> | **Task**         | Text Generation                           |
> | **Architecture** | `SolarForCausalLM`                        |
> | **Parameters**   | 22B                                       |
> | **HF Org**       | [upstage](https://huggingface.co/upstage) |

## Available Models

* **solar-pro-preview-instruct**

## Architecture

* `SolarForCausalLM`

## Example HF Models

| Model                      | HF ID                                                                                             |
| -------------------------- | ------------------------------------------------------------------------------------------------- |
| Solar Pro Preview Instruct | [`upstage/solar-pro-preview-instruct`](https://huggingface.co/upstage/solar-pro-preview-instruct) |

## 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.

#### Run with Docker

**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:26.06.00
```

**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

* [upstage/solar-pro-preview-instruct](https://huggingface.co/upstage/solar-pro-preview-instruct)