README.md

metadata

base_model: darkc0de/XortronCriminalComputingConfig
library_name: transformers
tags:
  - mergekit
  - merge
  - uncensored
  - harmful
  - mlx
  - mlx-my-repo
license: wtfpl
language:
  - en
pipeline_tag: text-generation

mlx-community/XortronCriminalComputingConfig-mlx-8Bit

The Model mlx-community/XortronCriminalComputingConfig-mlx-8Bit was converted to MLX format from darkc0de/XortronCriminalComputingConfig using mlx-lm version 0.22.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/XortronCriminalComputingConfig-mlx-8Bit")

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)