library_name: transformers language:

• en
• fr
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• pt
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• de base_model: huihui-ai/Llama-3.3-70B-Instruct-abliterated tags:
• facebook
• meta
• pytorch
• llama
• llama-3
• abliterated
• uncensored
• mlx
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frscrcc/Llama-3.3-70B-Instruct-abliterated-mlx-4Bit

The Model frscrcc/Llama-3.3-70B-Instruct-abliterated-mlx-4Bit was converted to MLX format from huihui-ai/Llama-3.3-70B-Instruct-abliterated using mlx-lm version 0.22.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("frscrcc/Llama-3.3-70B-Instruct-abliterated-mlx-4Bit")

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)