metadata

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

mlx-community/zed-industries-zeta-fp16

The Model mlx-community/zed-industries-zeta-fp16 was converted to MLX format from zed-industries/zeta using mlx-lm version 0.21.4 by Focused.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/zed-industries-zeta-fp16")

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)

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