metadata
base_model: zed-industries/zeta-2
tags:
- text-generation-inference
- transformers
- edit-prediction
- next-edit-suggestion
- mlx
license: apache-2.0
language:
- en
pipeline_tag: text-generation
library_name: mlx
NexVeridian/zeta-2-4bit
This model NexVeridian/zeta-2-4bit was converted to MLX format from zed-industries/zeta-2 using mlx-lm version 0.31.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("NexVeridian/zeta-2-4bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)