Apollo-V0.1-4B-Thinking-qx86x-hi-mlx

This model Apollo-V0.1-4B-Thinking-qx86x-hi-mlx was converted to MLX format from AllThingsIntel/Apollo-V0.1-4B-Thinking using mlx-lm version 0.28.4.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("Apollo-V0.1-4B-Thinking-qx86x-hi-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
Downloads last month
18
Safetensors
Model size
1B params
Tensor type
F16
·
U32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for nightmedia/Apollo-V0.1-4B-Thinking-qx86x-hi-mlx

Quantized
(5)
this model

Collections including nightmedia/Apollo-V0.1-4B-Thinking-qx86x-hi-mlx