ClokAI - Proprietary Transformer Library with MoE, KAN, SNN
Project description
ClokAI
Unified Python library for all ClokAI transformer models. One library, every model.
Installation
pip install clokai
Quick Start
from clokai import CiModel, AutoClokAI
# Load any ClokAI model from HuggingFace
model = AutoClokAI.from_pretrained("ClokAI/ci-v2-base")
tokenizer = AutoClokAI.load_tokenizer("ClokAI/ci-v2-base")
# Generate text
inputs = tokenizer("Hello, I am", return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
print(tokenizer.decode(outputs[0]))
Available Models
| Model | Task | HuggingFace |
|---|---|---|
| CI v2 Base | General Reasoning | ClokAI/ci-v2-base |
| CI v2 Military | Defense Systems | ClokAI/ci-v2-military |
| CI v2 Edge | Edge Deployment | ClokAI/ci-v2-edge |
Features
- SNN - Spiking Neural Networks
- KAN - Kolmogorov-Arnold Networks
- MoE - Mixture of Experts
- GQA - Grouped Query Attention
- SwiGLU - Feed-Forward Network
License
Proprietary - ClokAI
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