license: gpl-3.0 datasets:

• Orion-zhen/meissa-unalignments language:
• zho
• eng
• fra
• spa
• por
• deu
• ita
• rus
• jpn
• kor
• vie
• tha
• ara base_model: Orion-zhen/Qwen2.5-14B-Instruct-Uncensored tags:
• mlx

enet45/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit

The Model enet45/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit was converted to MLX format from Orion-zhen/Qwen2.5-14B-Instruct-Uncensored using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("enet45/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit")

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)