Apertus-v1.5-70B-FP8-mlx
- 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 70 billion parameters
- Memory to load
- ~42 GB (estimate)
- Format
- MLX
- Runs on
- CPU
- Access
- Gated: accept the publisher's terms on Hugging Face
- Downloads (last 30 days)
- 0
- Likes
- 0
- Last updated
- September 23, 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 42 GB of memory to load it (our estimate from its size and format).
Downloads are gated: accept the publisher's terms on Hugging Face first.
The model card on Hugging Face has the exact usage code.
Where to run it
In the cloud
Needs about 42 GB: use a 48 GB GPU such as an RTX A6000 or L40S.
- RunPod · rent a GPU by the hour (affiliate link)
Data from Hugging Face's public API, last checked September 23, 2026. Downloads are Hugging Face's count for the last 30 days.