Currently supported models on rNet:

Semantic search and NLP clustering.

Compact yet powerful open model for efficient text generation and instruction following.

High-capability open model with strong reasoning and multilingual performance.

Fast, lightweight model balancing speed and quality for everyday tasks.

High-quality text embeddings for search, retrieval, and clustering.

Fast, versatile multimodal model for scaling across diverse tasks.

Optimized for low latency (very quick responses) and efficiency.

High-performance open model for complex reasoning and versatile text generation.

Ultra-fast lightweight model optimized for low-latency inference.

Sparse mixture-of-experts model with 32K context for nuanced, long-form tasks.

Efficient instruction-tuned model for quick, high-quality text generation.