This is a hybrid - language AI model specifically designed for call record analysis, capable of handling call transcription content in Hindi, English, and mixed Hindi - English. The model is fine - tuned based on Qwen2.5 - 1.5B - Instruct and has powerful multilingual understanding and information extraction capabilities.

Natural Language ProcessingTransformersMultiple Languages

This is a quantized version of the inclusionAI Ring-mini-2.0 model. It is quantized using imatrix through llama.cpp and can run more efficiently under different hardware conditions to meet diverse usage needs.

Natural Language ProcessingGguf

Ring-mini-2.0 is a high-performance inference MoE model deeply optimized based on the Ling 2.0 architecture. It has only 16 billion total parameters and 1.4 billion active parameters, yet it achieves comprehensive inference capabilities comparable to dense models below 10 billion scale. It performs excellently in logical reasoning, code generation, and math tasks, supports processing long contexts of up to 128,000 tokens, and enables high-speed generation of over 300 tokens per second.

Natural Language ProcessingSafetensors

The Linglong Linear Preview is a hybrid linear sparse large language model open-sourced by InclusionAI, with a total of 17.1B parameters and 3.0B activated parameters. This model implements long-text reasoning based on a hybrid linear attention mechanism, achieving near-linear computational complexity and near-constant space complexity during inference.

Natural Language ProcessingSafetensorsMultiple Languages

This is a Stable Diffusion model fine-tuned on nail set images, capable of generating various styles of nail designs.

Computer VisionDiffusers

A Stable Diffusion model fine-tuned with art assets from the game 'Elden Ring', capable of generating art images in the style of Elden Ring.

Computer VisionDiffusers

An image classification model built with PyTorch and HuggingPics for identifying main characters in The Lord of the Rings.

Computer VisionTransformers