---
base_model: nvidia/Nemotron-Orchestrator-8B
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
---

# trast-ai/Orchestrator-8B-MLX

This model [trast-ai/Orchestrator-8B-MLX](https://huggingface.co/trast-ai/Orchestrator-8B-MLX) was
converted to MLX format from [nvidia/Orchestrator-8B](https://huggingface.co/nvidia/Orchestrator-8B)
using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("trast-ai/Orchestrator-8B-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)
```