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NbAiLab/borealis-4b-instruct-preview-mlx
borealis-4b-instruct-preview-mlx is a text generation model from NbAiLab. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as gemma.
Downloads · 30 days
76
8% of all-time downloads
All-time downloads
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.safetensors15.5 GB · 100%
From the Hugging Face model README
Release: Dec 22nd, 2025.
NbAiLab/borealis-4b-instruct-preview-mlx is a MLX version of a 4B-parameter instruction-tuned preview model intended for early testing and feedback. It is an experiment and should be treated as pre-release quality.
The original model is NbAiLab/borealis-4b-instruct-preview.
| Model | Bits | Format |
|---|---|---|
| NbAiLab/borealis-4b-instruct-preview | BF16 | Transformers (safetensors) |
| NbAiLab/borealis-4b-instruct-preview-gguf | 8 | GGUF (q8_0) |
| NbAiLab/borealis-4b-instruct-preview-gguf | 16 | GGUF (f16) |
| NbAiLab/borealis-4b-instruct-preview-gguf | BF16 | GGUF (bf16) |
| NbAiLab/borealis-4b-instruct-preview-mlx | 32 | MLX |
| NbAiLab/borealis-4b-instruct-preview-mlx-8bits | 8 | MLX (quantized) |
This model NbAiLab/borealis-4b-instruct-preview-mlx was converted to MLX format from NbAiLab/borealis-4b-instruct-preview using mlx-lm version 0.29.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("NbAiLab/borealis-4b-instruct-preview-mlx")
prompt = "hei :)"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)