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Qwen2.5-72B-ArliAI-RPMax-v2-mlx-4Bit
Wwayu/Qwen2.5-72B-ArliAI-RPMax-v2-mlx-4Bit
Qwen2.5-72B-ArliAI-RPMax-v2-mlx-4Bit is a machine learning model from Wwayu. 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 other.
The Model Wwayu/Qwen2.5-72B-ArliAI-RPMax-v2-mlx-4Bit was converted to MLX format from ArliAI/Qwen2.5-72B-ArliAI-RPMax-v2 using mlx-lm version 0.26.4.
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1.2K
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72.7B
40.9 GB on disk
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.safetensors40.9 GB · 100%
Parameter types
How the weights are stored.
U3272.7B · 100%
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Model card
From the Hugging Face model README
Wwayu/Qwen2.5-72B-ArliAI-RPMax-v2-mlx-4Bit
The Model Wwayu/Qwen2.5-72B-ArliAI-RPMax-v2-mlx-4Bit was converted to MLX format from ArliAI/Qwen2.5-72B-ArliAI-RPMax-v2 using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/Qwen2.5-72B-ArliAI-RPMax-v2-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
- mlx
- Type
- qwen2
- License
- other
- Created
- Oct 9, 2025
- Updated
- Oct 9, 2025