Aquif-3.5-Max-42B-A3B is a large language model with 42 billion parameters, which has undergone MXFP4_MOE quantization processing. It optimizes inference efficiency while maintaining high-quality text generation capabilities. This model is based on an advanced mixture-of-experts architecture and is suitable for various natural language processing tasks.

Natural Language ProcessingGguf

FineCat-NLI Large is a natural language inference model fine-tuned based on the tasksource/ModernBERT-large-nli model. It is trained on the high-quality FineCat-NLI dataset, combining the advantages of multiple excellent models and performing outstandingly in NLI tasks while maintaining the efficient characteristics of the ModernBERT architecture.

Natural Language ProcessingSentence-transformersEnglish

Huihui-gpt-oss-20b-mxfp4-abliterated-v2-qx86-hi-mlx is a large language model based on 20B parameters, optimized using quantization technology, and specifically converted for the MLX framework. This model uses high-precision quantization technology to significantly improve inference efficiency while maintaining model accuracy, and is suitable for various natural language processing tasks.

Natural Language ProcessingMlx

NeuroBERT-Mini is a lightweight natural language processing model derived from google/bert-base-uncased, optimized for real-time inference on edge and IoT devices.

Natural Language ProcessingTransformersMultiple Languages

Falcon-H1 is a series of language models developed by tiiuae. It adopts an innovative hybrid Transformer + Mamba architecture, supports multilingual processing, and performs excellently in various tasks such as inference, mathematics, and code generation, providing an efficient and powerful solution for natural language processing.

Natural Language ProcessingTransformersMultiple Languages

Natural language inference model supporting 100 languages, suitable for multilingual zero-shot classification tasks

Natural Language ProcessingSafetensorsMultiple Languages

Phi-4-reasoning-plus GGUF is a high-performance inference model fine-tuned based on Phi-4. It adopts advanced quantization technology and supports various tasks such as natural language processing, mathematical reasoning, and code generation. This model has significant innovations in ultra-low bit quantization and can provide flexible deployment solutions under different hardware conditions.

Natural Language ProcessingTransformersMultiple Languages

A binary natural language inference classifier fine-tuned on the COMP34812 dataset based on the Mamba state space model

Natural Language ProcessingPytorchMultiple Languages

A zero-shot classification model fine-tuned on XNLI and ANLI datasets based on facebook/drama-large, supporting natural language inference tasks in 15 languages.

Natural Language ProcessingSafetensorsMultiple Languages

This model is a fine-tuned version of Alibaba-NLP/gte-multilingual-base on the XNLI and ANLI datasets, supporting multilingual natural language inference tasks.

Natural Language ProcessingSafetensorsMultiple Languages

This model is a fine-tuned version of Alibaba-NLP/gte-multilingual-base on the XNLI dataset, supporting multilingual natural language inference tasks.

Natural Language ProcessingSafetensorsMultiple Languages

A multi-task fine-tuned model based on ModernBERT-large, specializing in Natural Language Inference (NLI) tasks, excelling in zero-shot classification and reasoning tasks.

Natural Language ProcessingTransformersMultiple Languages

This is a multilingual sentence embedding model based on the Sentence Transformers framework. It fine-tunes Alibaba-NLP/gte-multilingual-base on a Turkish natural language inference dataset. It can map text to a 768-dimensional dense vector space for calculating semantic similarity.

Natural Language ProcessingSentence-transformersOther

A natural language inference model optimized through multi-task fine-tuning based on the ModernBERT-large model, excelling in zero-shot classification and NLI tasks.

Natural Language ProcessingTransformersMultiple Languages

A natural language inference model fine-tuned based on ModernBERT-large, specifically designed for zero-shot classification tasks

Natural Language ProcessingTransformersEnglish

ModernBERT is a model fine-tuned on multi-task natural language inference (NLI) tasks, excelling in zero-shot classification and long-context reasoning.

Natural Language ProcessingTransformersMultiple Languages

A compact zero-shot classification model based on DeBERTa architecture, optimized for long-text natural language inference tasks, converted to ONNX format for web compatibility

Natural Language ProcessingTransformers

Based on the DeBERTa-v3-base model, the context length is extended to 1280, and fine-tuned for 250,000 steps on the tasksource dataset, focusing on natural language inference and zero-shot classification tasks.

Natural Language ProcessingTransformers

Zion_Alpha_Instruction_Tuned_SLERP is an innovative language model trained on Hebrew, which performs excellently in tasks such as sentiment analysis and natural language inference.

Natural Language ProcessingTransformersMultiple Languages

This is a multilingual classifier based on GPT-4 distillation, specifically designed to evaluate the Natural Language Inference (NLI) relationship between character responses and preset personality statements in role-playing dialogues.

Natural Language ProcessingTransformers