OpenPathAI

Build with our open-weight AI model, Orbit38BLlamaThinking.

Terminal
➜~/openpathaigit:(main)python
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model directly from Hugging Face
model_id = "OpenPathAI/Orbit-3-8B-Llama-thinking"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id,
    torch_dtype="float16",
    device_map="auto")

Downloading model.safetensors: 100% |██████████| 16.0G/16.0G

Loading weights: 100% |██████████| 291/291

✓ Model loaded — Orbit-3-8B-Llama-thinking

➜~/openpathaigit:(main)

About Us

Open, multilingual AI for a global audience

OpenPathAI builds large language, vision, and generative models designed for a global audience. Every model is released publicly on Hugging Face with an open license for research and commercial use.

Our focus: transparent, efficient, and multilingual AI that performs consistently across languages — no region-specific bias, no black boxes.

4

Models Released

Open

Community

MIT

License

∞

Free to Use

Highlights

Built for production

Every model is engineered for quality, speed, and openness — ready to ship from prototype to production scale.

Fast Inference

Models optimized for low latency on consumer hardware and production servers alike.

Open License

Released under MIT and Apache 2.0. Free to use for research and commercial work.

Wide Compatibility

Supports PyTorch, ONNX, TensorRT, and llama.cpp for flexible deployment.

Full Documentation

Every model ships with a model card, code samples, and usage guides.

Ready to try our models?

All models are free on Hugging Face. Just a few lines of code to get started.