library_name: mlx
tags:

• mergekit
• merge
• mlx
  base_model: DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B
  pipeline_tag: text-generation

alexgusevski/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-q3-mlx

This model alexgusevski/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-q3-mlx was
converted to MLX format from DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B
using mlx-lm version 0.30.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-q3-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, return_dict=False,
    )

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