ProKope-421M-8K
- Task
- Text classification
- Category
- Language
- License
- CC BY-NC 4.0
- Commercial use
- No
Non-commercial license: research and personal use only. - Size
- About 421 million parameters
- Memory to load
- ~2 GB (estimate)
- Format
- FP16
- Runs on
- GPU
- Access
- Gated: accept the publisher's terms on Hugging Face
- Downloads (last 30 days)
- 0
- Likes
- 1
- Last updated
- October 12, 2026
How to run it
These are full-precision weights, usually loaded with Hugging Face Transformers or Diffusers on a GPU.
Plan for roughly 2 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
On your own computer, free
Both load GGUF builds; for other formats, look for a GGUF version of this model.
In the cloud
Needs about 2 GB: a 24 GB GPU such as an RTX 4090 or RTX A5000 is enough.
- RunPod · rent a GPU by the hour (affiliate link)
Related text classification models
Data from Hugging Face's public API, last checked October 12, 2026. Downloads are Hugging Face's count for the last 30 days.