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smcleod/
Nemotron-Cascade-14B-Thinking-mlx-6Bit

Name: Nemotron-Cascade-14B-Thinking-mlx-6Bit
Availability: InStock

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smcleod/Nemotron-Cascade-14B-Thinking-mlx-6Bit

The Model smcleod/Nemotron-Cascade-14B-Thinking-mlx-6Bit was converted to MLX format from nvidia/Nemotron-Cascade-14B-Thinking using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("smcleod/Nemotron-Cascade-14B-Thinking-mlx-6Bit")

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)