license: apache-2.0
language:
- en
tags: - creative
- Uncensored
- Abliterated
- creative writing
- fiction writing
- plot generation
- sub-plot generation
- story generation
- scene continue
- storytelling
- fiction story
- science fiction
- romance
- all genres
- story
- llama-3
- llama3
- llama-3.2
- writing
- vivid prosing
- vivid writing
- fiction
- roleplaying
- bfloat16
- brainstorm 40x
- swearing
- rp
- 128k context
- horror
- llama 3.2
- finetune
- not-for-all-audiences
- mlx
pipeline_tag: text-generation
base_model: DavidAU/L3.2-Rogue-Creative-Instruct-DARK-HORROR-Uncensored-Abliterated-7B
datasets: - DavidAU/horror-nightmare1
library_name: mlx
L3.2-Rogue-Creative-Instruct-DARK-HORROR-Uncensored-Abliterated-7B-qx86-hi-mlx
This model L3.2-Rogue-Creative-Instruct-DARK-HORROR-Uncensored-Abliterated-7B-qx86-hi-mlx was
converted to MLX format from DavidAU/L3.2-Rogue-Creative-Instruct-DARK-HORROR-Uncensored-Abliterated-7B
using mlx-lm version 0.28.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("L3.2-Rogue-Creative-Instruct-DARK-HORROR-Uncensored-Abliterated-7B-qx86-hi-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)