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README.md

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+---
+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)
+```