mlx-community/XortronCriminalComputingConfig-bfloat16

1---2base_model: darkc0de/XortronCriminalComputingConfig3library_name: mlx4tags:5- mergekit6- merge7- uncensored8- harmful9- mlx10license: apache-2.011language:12- en13pipeline_tag: text-generation14---15 16# mlx-community/XortronCriminalComputingConfig-bfloat1617 18This model [mlx-community/XortronCriminalComputingConfig-bfloat16](https://huggingface.co/mlx-community/XortronCriminalComputingConfig-bfloat16) was19converted to MLX format from [darkc0de/XortronCriminalComputingConfig](https://huggingface.co/darkc0de/XortronCriminalComputingConfig)20using mlx-lm version **0.30.6**.21 22## Use with mlx23 24```bash25pip install mlx-lm26```27 28```python29from mlx_lm import load, generate30 31model, tokenizer = load("mlx-community/XortronCriminalComputingConfig-bfloat16")32 33prompt = "hello"34 35if tokenizer.chat_template is not None:36    messages = [{"role": "user", "content": prompt}]37    prompt = tokenizer.apply_chat_template(38        messages, add_generation_prompt=True, return_dict=False,39    )40 41response = generate(model, tokenizer, prompt=prompt, verbose=True)42```43