50 lines
1.0 KiB
Markdown
50 lines
1.0 KiB
Markdown
---
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language:
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- 'no'
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- nb
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- nn
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- en
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tags:
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- llama
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- notram
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- norwegian
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- bokmål
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- nynorsk
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- multilingual
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- conversational
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- text-generation
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- mlx
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pipeline_tag: text-generation
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license: llama3.1
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base_model: NbAiLab/nb-notram-llama-3.1-8b-instruct
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library_name: mlx
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---
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# SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx
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This model [SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx](https://huggingface.co/SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx) was
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converted to MLX format from [NbAiLab/nb-notram-llama-3.1-8b-instruct](https://huggingface.co/NbAiLab/nb-notram-llama-3.1-8b-instruct)
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using mlx-lm version **0.29.1**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx")
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prompt = "hello"
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if tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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