---
license: gemma
datasets:
- NbAiLab/aurora-sft-2512-filtered
language:
- 'no'
- nb
- nn
base_model: NbAiLab/borealis-1b-instruct-preview
pipeline_tag: image-text-to-text
library_name: transformers
tags:
- conversational
- instruct
- experimental
- mlx
- mlx-my-repo
---

# Borealis 1B Instruct Preview MLX

Converted to **MLX** from [NbAiLab/borealis-1b-instruct-preview](https://huggingface.co/NbAiLab/borealis-1b-instruct-preview) using `mlx-lm` **0.29.1**.

**Repo:** https://huggingface.co/NbAiLab/borealis-1b-instruct-preview-mlx

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("NbAiLab/borealis-1b-instruct-preview-mlx")

prompt = "hei :)"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
print(response)
```