gpt-oss-safeguard-120b is a security reasoning model built on gpt-oss, specifically designed for security use cases. This model can classify text content based on the provided security policies and perform a series of basic security tasks. It is suitable for scenarios such as input-output filtering of large language models and online content annotation.

Natural Language ProcessingTransformers

Qwen3 is the latest version in the Tongyi Qianwen series of large language models, offering a 1.7B-parameter GPTQ 8-bit quantized model that supports switching between reasoning and non-reasoning modes, enhancing inference capabilities and multilingual support.

Natural Language ProcessingTransformers

MiniCPM3-4B is the third-generation model in the MiniCPM series, with overall performance surpassing Phi-3.5-mini-Instruct and GPT-3.5-Turbo-0125, comparable to several recent 7B~9B-scale models.

Natural Language ProcessingTransformersMultiple Languages

PAGnol is a series of large-scale French language models for free text generation, with 1.5 billion parameters. Based on the GPT architecture, it was developed in collaboration between LightOn and Inria's ALMAnaCH team.

Natural Language ProcessingTransformersFrench

OPT is an open pre-trained Transformer language model developed by Meta AI, containing 1.3B parameters, comparable to the GPT-3 series models

Natural Language ProcessingTransformersEnglish

JASMINE is a series of Arabic GPT models designed for few-shot learning, with parameters ranging from 300 million to 6.7 billion, pretrained on 235GB of text data.

Natural Language ProcessingTransformers

OPT is an open pre-trained Transformer language model suite released by Meta AI, with parameter sizes ranging from 125 million to 175 billion, designed to match the performance of the GPT-3 series while promoting open research in large-scale language models.

Natural Language ProcessingJaxEnglish