Nemotron-Orchestrator-8B-mlx-fp16/README.md

library_name, base_model, tags

library_name	base_model	tags
transformers	nvidia/Nemotron-Orchestrator-8B	mlx

verque/Nemotron-Orchestrator-8B-mlx-fp16

The Model verque/Nemotron-Orchestrator-8B-mlx-fp16 was converted to MLX format from nvidia/Nemotron-Orchestrator-8B using mlx-lm version 0.29.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("verque/Nemotron-Orchestrator-8B-mlx-fp16")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)