language: en
tags:

• text-generation
• transformer
• mistral
• fine-tuned
• uncensored
• nsfw
• mlx
• mlx-my-repo
  license: apache-2.0
  datasets:
• open-source-texts
  model-name: Fine-tuned Mistral 7B (Uncensored)
  base_model: luvGPT/mistral-7b-uncensored

NotAnotherUsername2/mistral-7b-uncensored-mlx-4Bit

The Model NotAnotherUsername2/mistral-7b-uncensored-mlx-4Bit was converted to MLX format from luvGPT/mistral-7b-uncensored using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("NotAnotherUsername2/mistral-7b-uncensored-mlx-4Bit")

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)