ncard/Marco-o1-Q4-mlx

The Model ncard/Marco-o1-Q4-mlx was converted to MLX format from AIDC-AI/Marco-o1 using mlx-lm version 0.19.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("ncard/Marco-o1-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)
Downloads last month
15
Safetensors
Model size
1.19B params
Tensor type
FP16
·
U32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for ncard/Marco-o1-Q4-mlx

Base model

AIDC-AI/Marco-o1
Quantized
(40)
this model