Text generation
Large language models
Production-tuned Llama and Qwen families validated for high-throughput
serving.
Vision language models
Vision-text hybrids that stay responsive on multi-GPU setups.
Diffusion language models
Score-based and diffusion backbones for structured text generation
workflows.
Retrieval and ranking
Embedding models
Dense and sparse embeddings optimized with FlashInfer kernels.
Rerank models
Low-latency rerankers for multi-stage retrieval pipelines.
Classification models
Lightweight classifiers covering safety, intent, and context filters.
Specialized models
Reward models
RLHF and reward scoring pipelines optimized for production latency.
Decision models
Typed choice, score, and yes or no answers with a probability for every option.