library_name: mlx
tags:

• mergekit
• merge
• mistral
• mlx
  base_model: DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B
  pipeline_tag: text-generation

Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B-q6-f32-mlx

This model Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B-q6-f32-mlx was
converted to MLX format from DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B
using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B-q6-f32-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)