---
license: mit
pipeline_tag: text-generation
library_name: mlx
base_model: ServiceNow-AI/Apriel-1.5-15b-Thinker
tags:
- mlx
---

# NexVeridian/Apriel-1.5-15b-Thinker-8bit

This model [NexVeridian/Apriel-1.5-15b-Thinker-8bit](https://huggingface.co/NexVeridian/Apriel-1.5-15b-Thinker-8bit) was
converted to MLX format from [ServiceNow-AI/Apriel-1.5-15b-Thinker](https://huggingface.co/ServiceNow-AI/Apriel-1.5-15b-Thinker)
using mlx-lm version **0.28.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("NexVeridian/Apriel-1.5-15b-Thinker-8bit")

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)
```