language:

• en
  license: llama3.1
  pipeline_tag: text-generation
  tags:
• roleplay
• llama3
• sillytavern
• idol
• facebook
• meta
• pytorch
• llama
• llama-3
• mlx
• mlx-my-repo
  base_model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored
  extra_gated_fields:
  First Name: text
  Last Name: text
  Date of birth: date_picker
  Country: country
  Affiliation: text
  Job title:
  type: select
  options:
  • Student
  • Research Graduate
  • AI researcher
  • AI developer/engineer
  • Reporter
  • Other

isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16

The Model isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16 was converted to MLX format from aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored using mlx-lm version 0.29.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16")

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)