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QwenLong-L1-32B-mlx-8Bit
WaveCut/QwenLong-L1-32B-mlx-8Bit
QwenLong-L1-32B-mlx-8Bit is a machine learning model from WaveCut. 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 mlx. The card lists the license as apache-2.0.
The Model WaveCut/QwenLong-L1-32B-mlx-8Bit was converted to MLX format from Tongyi-Zhiwen/QwenLong-L1-32B using mlx-lm version 0.22.3.
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32.8B
34.8 GB on disk
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.safetensors34.8 GB · 100%
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U3232.8B · 100%
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From the Hugging Face model README
WaveCut/QwenLong-L1-32B-mlx-8Bit
The Model WaveCut/QwenLong-L1-32B-mlx-8Bit was converted to MLX format from Tongyi-Zhiwen/QwenLong-L1-32B using mlx-lm version 0.22.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("WaveCut/QwenLong-L1-32B-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)
- Library
- mlx
- Type
- qwen2
- License
- apache-2.0
- Created
- May 26, 2025
- Updated
- May 26, 2025