metadata
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
- zh
- ko
- ja
license: llama3.1
pipeline_tag: text-generation
tags:
- roleplay
- llama3
- sillytavern
- idol
- facebook
- meta
- pytorch
- llama
- llama-3
- mlx
- mlx-my-repo
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
base_model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
Wwayu/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored-mlx-6Bit
The Model Wwayu/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored-mlx-6Bit was converted to MLX format from aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored-mlx-6Bit")
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)