latentscore-gemma3-270m-v5-mlx-4bit

guprab/latentscore-gemma3-270m-v5-mlx-4bit

This model guprab/latentscore-gemma3-270m-v5-mlx-4bit was converted to MLX format from guprab/latentscore-gemma3-270m-v5-merged using mlx-lm version 0.29.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("guprab/latentscore-gemma3-270m-v5-mlx-4bit")

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)