Edge Foundation Family
Collection
Models we trained from scratch on Apple Silicon. The in-house foundation tier. • 3 items • Updated
Edge-Medium (85M)
An 85 million parameter language model trained entirely from scratch.
The proof-of-concept that launched the Edge series. Built on Apple Silicon to validate our in-house training pipeline before scaling to billions of parameters.
Overview
Edge-Medium is the first completed model in the Edge series by AXe Technologies. A compact transformer trained from zero — no pre-trained weights, no fine-tuning, no transfer learning.
| Parameters | 85,446,912 |
| Architecture | In-house transformer |
| Training | From scratch — complete |
| Hardware | Apple Silicon (Metal acceleration) |
| Status | ✅ Training complete |
Purpose
Edge-Medium served as the architectural proving ground for the Edge series. It validated:
- Our from-scratch training pipeline on consumer hardware
- Architectural decisions later scaled to Edge-1.3B
- Data processing and tokenization infrastructure
- Evaluation and benchmarking methodology
The Edge Series
| Model | Parameters | Status |
|---|---|---|
| Edge-Medium | 85M | ✅ Complete |
| Edge-1.3B | 1.3B | 🔄 Training |
| Edge-3 | Planned | Architecture phase |
Access
Model weights are available for approved researchers and partners. Request access below or contact us directly.
Training
Trained from scratch using in-house infrastructure on Apple Silicon. Training methodology and architectural details are not publicly disclosed.
About AXe Technologies
Canadian AI research lab focused on in-house, privacy-first artificial intelligence. We build models that run on your hardware, trained on our hardware. No cloud. No compromise.
Open to collaboration — Contact us for evaluation access and partnership inquiries.
Built in Canada 🍁 on Apple Silicon