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)

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)