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nhe-ai/
GenBook-Deepseek-R1.Llama-8B-Q4-mlx

Name: GenBook-Deepseek-R1.Llama-8B-Q4-mlx
Availability: InStock

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nhe-ai/GenBook-Deepseek-R1.Llama-8B-Q4-mlx

The Model nhe-ai/GenBook-Deepseek-R1.Llama-8B-Q4-mlx was converted to MLX format from krory/GenBook-Deepseek-R1.Llama-8B using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("nhe-ai/GenBook-Deepseek-R1.Llama-8B-Q4-mlx")

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)