TorchLM
The model layer, built by us.
TorchLM is our own language model and the foundation of every system we deliver. We adapt it to each organization’s records, so the model you run is built for your work alone.
8B parameters
Small enough to run on a single GPU inside your organization.
10x
More accuracy per parameter than models ten times its size on English and Arabic MMLU.
Reproducible
Public evaluation harness; results reviewed by Harvard's Data and AI Systems Lab.
Multilingual
Native English and Arabic, built to reason beyond literal translation.
Accuracy vs Scale in Arabic & English
TorchLM plotted against leading models on MMLU, showing strong accuracy per parameter for multilingual problem solving
MMLU Benchmark Comparison
Arabic MMLU
English MMLU
3D Model Explorer
Each sphere represents an AI model positioned in 3D space:
- → Right = higher English accuracy
- ↑ Up = higher Arabic accuracy
- ↗ Forward = more parameters
Larger spheres indicate better efficiency (accuracy per billion parameters).
TorchLM-8b achieves top bilingual performance at a fraction of the size.
Drag to rotate, scroll to zoom, hover for details.
Exceptional efficiency by design.
More accuracy per parameter than models 10× its size.
TorchLM-8b delivers top-tier bilingual performance while remaining compact enough to deploy anywhere—from cloud to on-device. Smaller footprint means faster inference, lower costs, and greener AI.
Efficiency Leaderboard
Accuracy per billion parameters (higher = more efficient)
TorchLM
Ready for your developers
The same model your system runs is available through an API your developers already know.
OpenAI-compatible
Chat completions and responses endpoints, so existing tools and SDKs work unchanged.
Agentic by design
Streaming, function tools and reasoning controls for building agents.
Deploys anywhere
The same model runs on a TorchStack node, your servers or your private cloud.
Start with the work
What would your organization do with its own AI?
Tell us about the work. We will show you what the system would look like inside your organization.
Talk to us