This is a text-to-video LoRA model based on AI technology, specifically optimized and trained for the Alita character. It can be used in scenarios such as image generation, providing convenience for applications in related fields.

MultimodalDiffusers

This is a quantized version of the InternVL3_5 14B model from OpenGVLab, which supports image-text to text conversion tasks. The model's operating efficiency is improved through quantization technology, providing a more efficient solution for related applications.

MultimodalGguf

A large language model based on Meta Llama-3.3-70B-Instruct, optimized through multi - stage training, performs excellently in tasks such as inference and chatting, supports multiple languages, and is suitable for various AI application scenarios. Optimized using neural architecture search technology, it can run efficiently on a single H100 - 80GB GPU.

Natural Language ProcessingTransformersEnglish

NVIDIA Qwen3-30B-A3B FP4 is a quantized version of Alibaba's Qwen3-30B-A3B model. It uses an optimized Transformer architecture and reduces the model size by approximately 3.3 times through FP4 quantization technology while maintaining good performance. This model supports both commercial and non-commercial use and is suitable for application scenarios such as AI agent systems, chatbots, and RAG systems.

Natural Language ProcessingSafetensors

A high-performance, multi-domain AI model built using MergeKit's Model Stock fusion technology, integrating multiple fine-tuned Qwen3-4B models, demonstrating exceptional reasoning, programming, and multi-step problem-solving capabilities in structured output and technical application scenarios.

Natural Language ProcessingTransformersEnglish

YarnGPT is a text-to-speech (TTS) model specifically designed for synthesizing Nigerian-accented English, utilizing pure language modeling technology to deliver high-quality, natural, and culturally relevant speech synthesis for diverse applications.

Audio ProcessingTransformersEnglish

The LLaMA-2 Reward Model is a reward model trained based on the LLaMA-2-7B architecture. It endows the reward model with domain knowledge through model fusion technology. This model is trained on the argilla/ultrafeedback-binarized-preferences-cleaned dataset and is specifically used for text classification tasks, which has important research and application value.

Natural Language ProcessingSafetensorsEnglish

free-solar-evo-v0.13 is a model developed by the Freewheelin Artificial Intelligence Technology Team. It draws on the evolutionary model fusion concept of the Sakana project and is developed based on the free-solar-evo-model, with certain technical foundation and application value.

Natural Language ProcessingTransformersMultiple Languages

MindLLM 1.3B is a 1.3 billion-parameter Transformer model jointly developed by the Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Applications and the Southeast Institute of Information Technology, Beijing Institute of Technology, supporting Chinese and English dialogue generation.

Natural Language ProcessingTransformersMultiple Languages

This is a small decoder model with 81 million parameters, using input/output embedding binding technology. As an original pre-trained model, it is designed for text generation tasks and needs to be fine-tuned for specific applications before use.

Natural Language ProcessingTransformersEnglish

TinyClinicalBERT is a lightweight model designed specifically for clinical natural language processing. It is optimized from BioClinicalBERT through knowledge distillation technology. It has only 15M parameters, fast inference speed, and maintains high performance at the same time. It is suitable for clinical NLP application scenarios with limited resources.

Natural Language ProcessingTransformers

Riffusion is a real-time music generation application based on Stable Diffusion technology, capable of generating spectrograms from text input and converting them into audio clips.

MultimodalDiffusers