by openai-community
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Qwen2.5-72B-Instruct-lecore-mlx
- Task
- Text generation
- Category
- Language
- License
- Custom (other)
- Commercial use
- Check the license
The license isn't a standard one; read the model card on Hugging Face before using it commercially. - Size
- About 72 billion parameters
- Memory to load
- ~44 GB (estimate)
- Format
- MLX
- Runs on
- CPU
- Access
- Open download
- Downloads (last 30 days)
- 0
- Likes
- 0
- Last updated
- October 15, 2026
How to run it
This is an MLX build for Apple silicon Macs; run it with Apple's MLX framework (mlx-lm for language models).
Plan for roughly 44 GB of memory to load it (our estimate from its size and format).
The model card on Hugging Face has the exact usage code.
Where to run it
In the cloud
Needs about 44 GB: use a 48 GB GPU such as an RTX A6000 or L40S.
- RunPod · rent a GPU by the hour (affiliate link)
Related text generation models
Data from Hugging Face's public API, last checked October 15, 2026. Downloads are Hugging Face's count for the last 30 days.