metadata
license: apache-2.0
language:
- en
base_model: ReadyArt/Gaslit-Transgression-24B-v1.0
base_model_relation: finetune
pipeline_tag: text-generation
tags:
- nsfw
- explicit
- roleplay
- unaligned
- dangerous
- ERP
- mlx
library_name: mlx
Beridar/ReadyArt-Gaslit-Transgression-24B-v1.0-mlx-6bit
This model Beridar/ReadyArt-Gaslit-Transgression-24B-v1.0-mlx-6bit was converted to MLX format from ReadyArt/Gaslit-Transgression-24B-v1.0 using mlx-lm version 0.22.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Beridar/ReadyArt-Gaslit-Transgression-24B-v1.0-mlx-6bit")
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)