base_model, library_name, pipeline_tag, tags

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

trast-ai/Orchestrator-8B-MLX

This model trast-ai/Orchestrator-8B-MLX was converted to MLX format from nvidia/Orchestrator-8B using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm

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)