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Qwen3-4B-Thinking-2507-gabliterated-mlx-4Bit
alib97/Qwen3-4B-Thinking-2507-gabliterated-mlx-4Bit
Qwen3-4B-Thinking-2507-gabliterated-mlx-4Bit is a machine learning model from alib97. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gabliteration.
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.
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.safetensors2.3 GB · 99%
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From the Hugging Face model README
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.
Use with mlx
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)
- Library
- gabliteration
- Type
- qwen3
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026