Aws

Lucy-128k is a model developed based on Qwen3-1.7B, focusing on proxy-based web search and lightweight browsing, and can run efficiently on mobile devices.

EXAONE-4.0-1.2B is a multilingual large language model that integrates non-inference mode and inference mode, supporting English, Korean, and Spanish.

EXAONE-4.0-32B is a multilingual large model that combines advanced quantization technology with an efficient architecture. It has excellent text generation and reasoning capabilities and supports English, Korean, and Spanish.

This is an automatically generated Hugging Face Transformers model card. Specific model information is to be supplemented.

Tri-21B is a flagship large language model that achieves state-of-the-art performance with only 2T training tokens, redefining the boundary of training efficiency.

This is a quantized version model based on nvidia/OpenReasoning-Nemotron-1.5B, aiming to provide efficient text generation capabilities.

EXAONE-4.0-1.2B is a 1.2B parameter language model released by LGAI-EXAONE, offering multiple quantization versions to meet different hardware requirements.

The quantized version of the EXAONE-4.0-32B model by LGAI-EXAONE, quantized using the llama.cpp tool, aiming to provide more flexible usage options for users with different hardware conditions.

A multi-purpose, multi-language large language model suitable for multiple domains such as general tasks, role-playing, and story writing.

A quantized version of NVIDIA OpenReasoning - Nemotron - 32B, quantized through llama.cpp to reduce model storage and computational resource requirements for easy deployment.