license: apache-2.0 datasets:

• TeichAI/claude-4.5-opus-high-reasoning-250x base_model: DavidAU/Llama3.3-8B-Instruct-Thinking-Heretic-Uncensored-Claude-4.5-Opus-High-Reasoning language:
• en
• fr
• de
• es
• it
• pt
• zh
• ja
• ru
• ko tags:
• thinking
• reasoning
• instruct
• heretic
• uncensored
• abliterated
• Claude4.5-Opus
• creative
• creative writing
• fiction writing
• plot generation
• sub-plot generation
• story generation
• scene continue
• storytelling
• fiction story
• science fiction
• romance
• all genres
• story
• writing
• vivid prosing
• vivid writing
• fiction
• roleplaying
• bfloat16
• role play
• 128k context
• llama3.3
• llama-3
• llama-3.3
• unsloth
• finetune
• mlx
• mlx-my-repo pipeline_tag: text-generation library_name: transformers

alexgusevski/Llama3.3-8B-Instruct-Thinking-Heretic-Uncensored-Claude-4.5-Opus-High-Reasoning-mlx-fp16

The Model alexgusevski/Llama3.3-8B-Instruct-Thinking-Heretic-Uncensored-Claude-4.5-Opus-High-Reasoning-mlx-fp16 was converted to MLX format from DavidAU/Llama3.3-8B-Instruct-Thinking-Heretic-Uncensored-Claude-4.5-Opus-High-Reasoning using mlx-lm version 0.29.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Llama3.3-8B-Instruct-Thinking-Heretic-Uncensored-Claude-4.5-Opus-High-Reasoning-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)