# Multilingual reasoning

A multilingual text generation model that performs quantization processing based on the HelpingAI's Dhanishtha-2.0-preview model, supporting multiple scenarios such as reasoning and dialogue.

Phi-3.5-mini-instruct is a lightweight and advanced open-source model built on the dataset used by Phi-3, focusing on high-quality, inference-rich data. It supports a 128K token context length and has powerful multilingual and long-context processing capabilities.

Qwen3 is the latest generation of large language models in the Qwen series, offering a dense model with 0.6B parameters, achieving breakthrough progress in reasoning, instruction following, agent capabilities, and multilingual support.

Qwen3-4B is the latest version in the Qwen series of large language models with 4B parameters, supporting switching between reasoning and non-reasoning modes, excelling at inference, instruction following, and multilingual processing.

Qwen3-4B is the latest large language model in the Qwen series, featuring the ability to switch thinking modes, powerful reasoning capabilities, excellent human preference alignment, outstanding agent capabilities, and multilingual support.

Qwen3-8B is a large language model in the Qwen3 series. It has the characteristics of a causal language model and performs excellently in reasoning, multilingual support, agent capabilities, etc., bringing users a natural and smooth conversation experience.

Qwen3 is a series of advanced language models developed by the Qwen Team, excelling in advanced reasoning, dialogue, instruction following, and agent applications.

Qwen3 is the latest generation of large language models in the Qwen series, offering a range of dense and mixture-of-experts (MoE) models. Based on extensive training, Qwen3 has made breakthroughs in reasoning, instruction following, agent capabilities, and multilingual support.

Qwen3 is the latest generation of large language models in the Qwen series, offering a range of dense and mixture-of-experts (MoE) models. Based on extensive training, Qwen3 has made breakthroughs in reasoning, instruction following, agent capabilities, and multilingual support.

Qwen3 is the latest version of the Tongyi Qianwen series of large language models, offering a dense model with 32.8B parameters, achieving breakthrough progress in reasoning capabilities, instruction following, agent functionality, and multilingual support.

ThinkAgain1.5 is a powerful text generation model with natural and intelligent reasoning capabilities, supporting tool invocation and functioning in various language scenarios.

EXAONE Deep is an efficient reasoning language model developed by LG AI Research with 2.4B parameters, excelling in reasoning tasks such as mathematics and programming.

A fine-tuned reasoning model based on LLaMA-3B, enhanced with reasoning capabilities and multilingual processing support

A natural language inference model fine-tuned based on Bloomz-3b-chat-dpo, supporting semantic relation judgment in English and French

Text classification model fine-tuned on the MNLI task based on the Catalan RoBERTa model