mlabonne/harmful_behaviors
Viewer • Updated • 520 • 22.7k • 153
How to use alib97/Qwen3-4B-Thinking-2507-gabliterated-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-4B-Thinking-2507-gabliterated-mlx-4Bit alib97/Qwen3-4B-Thinking-2507-gabliterated-mlx-4Bit
The Model alib97/Qwen3-4B-Thinking-2507-gabliterated-mlx-4Bit was converted to MLX format from Goekdeniz-Guelmez/Qwen3-4B-Thinking-2507-gabliterated using mlx-lm version 0.29.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("alib97/Qwen3-4B-Thinking-2507-gabliterated-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)
4-bit
Base model
Qwen/Qwen3-4B-Thinking-2507