kang-heewon/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-MLX-8bit
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kang-heewon/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-MLX-8bit
Use with mlx
pip install mlx-lmfrom mlx_lm import load, generate
model, tokenizer = load("kang-heewon/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-MLX-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, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)