testmoto/gemma-2-llm2024-dpo-02
The Model testmoto/gemma-2-llm2024-dpo-02 was converted to MLX format from testmoto/gemma-2-llm2024-01 using mlx-lm version 0.20.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("testmoto/gemma-2-llm2024-dpo-02")
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)