Forge CLI
Swarm agents optimize CUDA/Triton for any HF/PyTorch model
#Hardware
#Developer Tools
#Artificial Intelligence
Forge CLI – Optimizes CUDA/Triton kernels for HuggingFace and PyTorch models
Summary: Forge CLI generates optimized GPU kernels from any HuggingFace or PyTorch model using 32 parallel agents that compete to find the fastest CUDA/Triton implementation, achieving up to 5× speed improvements over torch.compile(mode='max-autotune') with 97.6% correctness.
What it does
It accepts a HuggingFace model ID and produces optimized CUDA/Triton kernels for every layer by running 32 Coder+Judge agents in parallel to identify the fastest GPU code.
Who it's for
Developers and researchers needing faster GPU kernel execution for HuggingFace or PyTorch models.
Why it matters
It significantly accelerates model execution by generating more efficient GPU kernels than existing compilation methods.