EDGE OSDEFINITION
Open weight models are models where the model weights (parameters) are public. This means you will often be able to run them locally and customize/finetune for your own use. However, the training data, code, training techniques, and full development history may not be available. Check whether you know about the licensing, limitations, or hardware requirements.
Importance of Open Weight Models
- Can be run in selected cloud/local environments.
- Supported finetuning.
- Provides more control over your infrastructure.
- May help with reducing dependency on paid APIs. However, there will still be costs associated with running and maintaining your infrastructure.
- Developers can test and adapt models.
Use Cases for Open Weight Models
- Creating internal AI assistants.
- Finetune language models for sector specific tasks.
- Run AI apps on your infrastructure.
- Create chatbots and document processing applications for specific domains.
- Test various models.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.