AesCode-32B-abliterated-MLX-8bit
- Task
- Not stated
- Category
- Other
- License
- Not stated
- 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 32 billion parameters
- Memory to load
- ~20 GB (estimate)
- Format
- MLX
- Runs on
- CPU
- Access
- Open download
- Downloads (last 30 days)
- 0
- Likes
- 0
- Last updated
- October 28, 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 20 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 20 GB: a 24 GB GPU such as an RTX 4090 or RTX A5000 is enough.
- RunPod · rent a GPU by the hour (affiliate link)
Data from Hugging Face's public API, last checked October 28, 2026. Downloads are Hugging Face's count for the last 30 days.