metadata
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 using mlx-lm 0.29.1.
Repo: https://huggingface.co/NbAiLab/borealis-1b-instruct-preview-mlx
Use with mlx
pip install mlx-lm
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)