---
language:
- 'no'
- nb
- nn
- en
tags:
- llama
- notram
- norwegian
- bokmål
- nynorsk
- multilingual
- conversational
- text-generation
- mlx
pipeline_tag: text-generation
license: llama3.1
base_model: NbAiLab/nb-notram-llama-3.1-8b-instruct
library_name: mlx
---

# SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx

This model [SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx](https://huggingface.co/SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx) was
converted to MLX format from [NbAiLab/nb-notram-llama-3.1-8b-instruct](https://huggingface.co/NbAiLab/nb-notram-llama-3.1-8b-instruct)
using mlx-lm version **0.29.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx")

prompt = "hello"

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)
```