AutoTriton is a Triton programming model with 8 billion parameters. It is based on the Seed-Coder-8B-Reasoning model and trained through supervised fine-tuning and reinforcement learning. It is the first model driven by reinforcement learning and specifically designed for Triton programming. It can automatically optimize complex kernel development tasks such as computing units, memory management, and parallelism.

Natural Language ProcessingTransformers

KernelLLM is a large language model specifically trained based on Llama 3.1 Instruct, focusing on writing GPU kernels using Triton. It can efficiently convert PyTorch modules into Triton kernels, making GPU programming more accessible and efficient.

Natural Language ProcessingTransformers

KernelLLM is a model fine-tuned based on Llama 3.1 Instruct, specifically designed for writing GPU kernels using Triton.

Natural Language ProcessingGguf

An 8B-parameter large language model based on Llama 3.1 Instruct, specifically trained for writing GPU kernels using Triton, capable of converting PyTorch modules to Triton kernels

Natural Language ProcessingTransformers