metadata
datasets:
- zed-industries/zeta
license: apache-2.0
tags:
- mlx
base_model: zed-industries/zeta
mlx-community/zed-industries-zeta-8bit
The Model mlx-community/zed-industries-zeta-8bit 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-8bit")
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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