This is the quantized version of the PokeeAI/pokee_research_7b model, adhering to the concept of 'Making knowledge accessible to everyone', and reducing the resource requirements for model deployment and use through quantization technology.

Natural Language ProcessingGguf

Qwen2.5-3B-Valor is a specialized language model that focuses on generating challenging questions, capable of challenging traditional concepts and connecting ideas from different fields, thus opening up new directions for research in the technological field.

Natural Language ProcessingTransformersEnglish

This is the quantized version of the Tesslate/UIGEN-FX-4B-Preview model, aiming to make large language models easier to deploy and use through quantization technology, realizing the concept of 'Making knowledge accessible to everyone'.

Natural Language ProcessingGguf

This is the quantized version of the LLM360/K2-Think model, dedicated to making knowledge spread more freely, adhering to the concept of 'Let knowledge be used by everyone'. This version optimizes the model size and inference efficiency through quantization technology.

Natural Language ProcessingGguf

This is the quantized version of ByteDance-Seed/cudaLLM-8B, which is committed to making large language models easier to deploy and use through model compression technology, realizing the concept of 'Let knowledge be used by everyone'.

Natural Language ProcessingGguf

This is a quantized version model based on fdtn-ai/Foundation-Sec-8B-Instruct, focusing on text generation tasks. The project adheres to the concept of 'Making knowledge accessible to everyone' and reduces the threshold of model deployment through quantization technology.

Natural Language ProcessingGguf

DermLIP is a vision-language model specifically designed for the field of dermatology, trained on the largest dermatology image-text corpus, Derm1M. This model adopts a CLIP-style architecture and can perform various dermatology-related tasks, including zero-shot classification, few-shot learning, cross-modal retrieval, and concept annotation.

MultimodalTransformersEnglish

The quantized version of Bielik-4.5B-v3.0-Instruct, based on a large Polish instruction fine-tuned language model with 4.5 billion parameters, optimized for efficient inference and deployment, and built with the concept of 'making knowledge accessible to everyone'.

Natural Language ProcessingGguf

Foundation-Sec-8B is a language model specifically designed for network security applications. Based on the Llama-3.1 architecture, it has been pre-trained on a large amount of network security-related text data and can understand and process various concepts, terms, and practices in the field of network security.

Natural Language ProcessingTransformersEnglish

DiffLlama-1B is a large language model pre-trained from scratch on approximately 100 billion tokens with around 1 billion parameters, innovatively adopting the 'Differential Transformer' architecture concept.

Natural Language ProcessingSafetensorsJapanese

Sentence embedding model based on ModernBERT-base for sentence similarity and feature extraction tasks

Natural Language ProcessingSafetensors

ConceptCLIP is a large-scale vision-language pre-training model enhanced with medical concepts, suitable for various medical imaging modalities, capable of achieving robust performance across multiple medical imaging tasks.

MultimodalTransformersEnglish

ViLegalBERT is a pre - trained language model specifically optimized for Vietnamese legal texts. It is developed by continuously pre - training PhoBERT - base - v2 on a large Vietnamese legal corpus. This model has 135 million parameters and focuses on understanding Vietnamese legal terms and concepts, providing high - quality context representations for various NLP tasks in the legal domain.

Natural Language ProcessingTransformersOther

Mitsua Likes is a Japanese/English text-to-image latent diffusion model developed based on the concept of collaborative art creation, trained exclusively with explicitly authorized and licensed data, and certified for fair training.

Computer VisionDiffusersMultiple Languages

Megrez-3B is a large language model independently trained by Infinigence AI. Through the concept of hardware-software collaboration, it creates an edge-side intelligent solution with extremely fast inference, compact size, and easy-to-use features. This model compresses the capabilities of a 14B model into a 3B model and achieves excellent performance on mainstream leaderboards.

Natural Language ProcessingSafetensorsMultiple Languages

Live2D-style virtual avatar generation tool based on LoRA model, supporting rapid character concept creation

Computer VisionDiffusers

A LoRA model based on FLUX.1-dev, specializing in generating 'super fusion' style creative images that combine real-world elements with 3D rendering and surreal concepts.

Computer VisionDiffusers

This is a 17B parameter self-fusion version of the original 12B parameter Flux.1-dev model, achieving parameter expansion through grouped repetition and interleaved network layers, currently serving primarily as a proof of concept.

MultimodalDiffusers

A LoRA model developed based on the FLUX framework, specializing in generating GTA6-style character concept designs, particularly optimized for the characters Jason and Lucia.

Computer VisionDiffusers

TinyTimeMixers (TTMs) are compact pretrained models for multivariate time-series forecasting open-sourced by IBM Research, starting from 1 million parameters, introducing the concept of 'miniature' pretrained models in time-series forecasting for the first time.

Scientific ComputingSafetensors