README.md

metadata

datasets:
  - zed-industries/zeta
license: apache-2.0
base_model: zed-industries/zeta
tags:
  - mlx

Alejandroolmedo/zeta-mlx

The Model Alejandroolmedo/zeta-mlx was converted to MLX format from zed-industries/zeta using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Alejandroolmedo/zeta-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)