RohitPoreddy/Llama-3.1-Nemotron-70B-Instruct-HF-Q4-mlx

The Model RohitPoreddy/Llama-3.1-Nemotron-70B-Instruct-HF-Q4-mlx was converted to MLX format from nvidia/Llama-3.1-Nemotron-70B-Instruct-HF using mlx-lm version 0.19.1.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("RohitPoreddy/Llama-3.1-Nemotron-70B-Instruct-HF-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)
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Model size
11B params
Tensor type
FP16
·
U32
·
Inference Examples
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