Llama-4-Maverick-17B-128E-Instruct-NVFP4 is a multilingual large language model that has undergone FP4 quantization processing. It is based on the Meta-Llama-3.1 architecture and is specifically designed for business and research purposes. By quantizing the weights and activations to the FP4 data type, this model significantly reduces the disk space and GPU memory requirements while maintaining good performance.

Natural Language ProcessingSafetensorsMultiple Languages

This is a robot operation model fine-tuned by Tacoin on the LIBERO libero long benchmark based on the NVIDIA GR00T model. The model uses dual RGB streams and 8-degree-of-freedom state input, and can predict 16-step joint space actions, specifically designed for long-horizon robot operation tasks.

MultimodalSafetensors

This is a dual-encoder sentence embedding model released by Redis and optimized for semantic caching tasks. It is fine-tuned based on sentence-transformers/all-MiniLM-L6-v2 and can map text to a 384-dimensional vector space, specifically designed to improve the query matching accuracy of the LangCache semantic caching system.

Natural Language ProcessingSentence-transformersEnglish

This is the ik_llama.cpp imatrix quantized version of the zai-org/GLM-4.5 model. It uses advanced quantization techniques to reduce the model's storage space while maintaining high prediction accuracy. It is designed for performance and efficiency optimization in specific scenarios.

Natural Language ProcessingGguf

A semantic text similarity and embedding model specifically designed for Persian, capable of mapping sentences into a dense vector space where semantically similar texts are positioned close to each other.

Natural Language ProcessingSentence-transformerspersian

An image generation model fine-tuned based on Stable Diffusion v1.5, specifically designed for generating deep space images in the style of the James Webb Space Telescope.

Computer VisionDiffusers

VMamba is a visual model based on the bidirectional state space model, designed specifically for image classification tasks and fine-tuned on the ImageNet dataset.

Computer VisionTransformers

AlphaSpace is an innovative approach designed to enhance the spatial reasoning capabilities of language models for robotic manipulation in 3D Cartesian space.

Natural Language ProcessingTransformers

This is a sentence transformer model in the medical field fine-tuned based on sentence-transformers/all-MiniLM-L6-v2, specifically designed to calculate the semantic similarity of medical terms and symptom descriptions. The model maps sentences to a 384-dimensional vector space and performs excellently on medical text similarity tasks.

Natural Language ProcessingSentence-transformers

This is a sentence transformer model fine-tuned from Alibaba NLP/gte-base-en-v1.5, designed to map text into a 768-dimensional vector space, supporting tasks such as semantic similarity calculation.

Natural Language ProcessingSafetensorsOther

This is a fine-tuned sentence transformer model based on sentence-transformers/all-mpnet-base-v2, designed to map text into a 768-dimensional vector space, supporting tasks such as semantic similarity computation.

Natural Language ProcessingSafetensors

HVI-CIDNet is a deep learning model for low-light image enhancement, designed based on the novel HVI color space.

Computer VisionSafetensors

HVI-CIDNet is a deep learning model for low-light image enhancement, designed based on the novel HVI color space.

Computer VisionSafetensors

HVI-CIDNet is a deep learning model for low-light image enhancement, designed based on the novel HVI color space.

Computer VisionSafetensors

HVI-CIDNet is a deep learning model designed for low-light image enhancement, based on a novel HVI color space.

Computer VisionSafetensors

HVI-CIDNet is a deep learning model for low-light image enhancement, designed based on the novel HVI color space

Computer VisionSafetensors

HVI-CIDNet is a model designed for low-light image enhancement, based on the new HVI color space.

Computer VisionSafetensors

HVI-CIDNet is a model designed for low-light image enhancement, based on the novel HVI color space, aiming to improve image quality under low-light conditions.

Computer VisionSafetensors

HVI-CIDNet is a deep learning model for low-light image enhancement, designed based on the new HVI color space.

Computer VisionSafetensors

HVI-CIDNet is a deep learning model designed for low-light image enhancement, based on the novel HVI color space.

Computer VisionSafetensors