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)