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SiddhJagani/
NVIDIA-Nemotron-Nano-12B-v2-mlx-Q8

Name: NVIDIA-Nemotron-Nano-12B-v2-mlx-Q8
Availability: InStock

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SiddhJagani/NVIDIA-Nemotron-Nano-12B-v2-mlx-Q8

The Model SiddhJagani/NVIDIA-Nemotron-Nano-12B-v2-mlx-Q8 was converted to MLX format from nvidia/NVIDIA-Nemotron-Nano-12B-v2 using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("SiddhJagani/NVIDIA-Nemotron-Nano-12B-v2-mlx-Q8")

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)