license: gemma
language:
- en
tags: - mlx
base_model: IlyaGusev/gemma-2-9b-it-abliterated
gemma-2-9b-it-abliterated-mlx-2bit
The Model gemma-2-9b-it-abliterated-mlx-2bit was converted to MLX format from IlyaGusev/gemma-2-9b-it-abliterated using mlx-lm version 0.19.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("gemma-2-9b-it-abliterated-mlx-2bit")
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)