usermma/Darwin-28B-Coder-mlx-fp16
The Model usermma/Darwin-28B-Coder-mlx-fp16 was converted to MLX format from FINAL-Bench/Darwin-28B-Coder using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("usermma/Darwin-28B-Coder-mlx-fp16")
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)