metadata
library_name: mlx
license: apache-2.0
base_model: BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX
tags:
- z-image-turbo
- prompt-engineering
- qwen3
- heretic
- mlx
- prompt-enhancer
- mlx
- mlx-my-repo
introvoyz041/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX-mlx-8Bit
The Model introvoyz041/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX-mlx-8Bit was converted to MLX format from BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX-mlx-8Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)