Kireeti3901/gemma4-e4b-java-audit-v2-mlx-q4
082
Kireeti3901/gemma4-e4b-java-audit-v2-mlx-q4
Use with mlx
pip install mlx-lmfrom mlx_lm import load, generate
model, tokenizer = load("Kireeti3901/gemma4-e4b-java-audit-v2-mlx-q4")
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)