GigaChat3-10B-A1.8B is a dialogue model in the GigaChat series, based on the Mixture of Experts (MoE) architecture, with a total of 10 billion parameters, of which 1.8 billion are active parameters. This model uses multi-head latent attention and multi-token prediction technologies, supports a long context of 256,000 tokens, and performs excellently in multilingual dialogue and reasoning tasks.

Natural Language ProcessingSafetensorsMultiple Languages

MiroThinker v1.0 is an open-source research agent that enhances tool-enhanced reasoning and information search capabilities through model-level interactive expansion. This model performs excellently in multiple benchmark tests and supports long contexts and in-depth multi-step analysis.

Natural Language ProcessingTransformersEnglish

A large language model with 12B parameters fine-tuned based on Qwen 3, capable of handling 256k ultra-long contexts. It is specifically optimized for long text generation tasks. This model combines the foundation of the VLTO 8B model, Brainstorm 20x tuning, and NEO Imatrix dataset quantization technology, enabling it to generate high-quality long text content.

Natural Language ProcessingGgufMultiple Languages

This model is a GGUF format model generated by in-depth fine-tuning of the Qwen3-Coder-30B-A3B-Instruct Mixture of Experts model using Brainstorm 20x technology. It is designed for programming and general purposes, supports a 256K long context, and is optimized for code generation and understanding of mainstream and niche programming languages.

Natural Language ProcessingGgufMultiple Languages

Tarka-Embedding-350M-V1 is a text embedding model with 350 million parameters, capable of generating 1024-dimensional dense text representations. This model is optimized for downstream applications such as semantic similarity, search, and retrieval-augmented generation (RAG), supports multiple languages, and has the ability to handle long contexts.

Natural Language ProcessingSentence-transformers

Olmo 3 is a brand - new 32B parameter language model family developed by the Allen Institute for AI (Ai2), which includes variants such as Base, Instruct, and Think. This model is trained on the Dolma 3 dataset, supports long - context processing of up to 65,536 tokens, and aims to promote the development of language model science. The model is fully open - source and follows the Apache 2.0 license.

Natural Language ProcessingTransformersEnglish

Qwen3-VL-4B-Instruct is the latest vision-language model in the Tongyi Qianwen series. It achieves excellent visual perception, text understanding and generation, spatial reasoning, and intelligent agent interaction capabilities at the 4B parameter scale. It supports long contexts and video understanding, and has powerful OCR and multi-language processing capabilities.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Tongyi series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, strong spatial and video dynamic understanding capabilities, and outstanding agent interaction capabilities.

MultimodalGguf

Qwen3-VL-32B-Thinking is the most powerful vision-language model in the Qwen series, with excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context processing, spatial and video dynamic understanding capabilities, and outstanding agent interaction capabilities.

MultimodalTransformers

Qwen3-VL-8B-Thinking is the most powerful vision-language model in the Tongyi Qianwen series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, strong spatial and video dynamic understanding capabilities, and outstanding agent interaction capabilities.

MultimodalGguf

Qwen3-VL is the most powerful vision-language model in the Tongyi series. It has excellent text understanding and generation capabilities, in - depth visual perception and reasoning capabilities, long - context support, strong spatial and video dynamic understanding capabilities, and outstanding agent interaction capabilities.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Qwen series, with excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, strong spatial and video dynamic understanding capabilities, and outstanding agent interaction capabilities.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Qwen series, achieving comprehensive upgrades in all aspects, including excellent text understanding and generation capabilities, deeper visual perception and reasoning capabilities, longer context length, enhanced spatial and video dynamic understanding capabilities, and stronger agent interaction capabilities.

MultimodalTransformers

Qwen3-VL is a new-generation vision-language model launched by Alibaba, which has been comprehensively upgraded in text understanding, visual perception, spatial understanding, long context processing, and agent interaction, and supports flexible deployment from edge devices to the cloud.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Qwen series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, strong spatial and video dynamic understanding capabilities, and outstanding agent interaction capabilities. This version is a thinking-enhanced version with 2B parameters, specifically optimized for reasoning capabilities.

MultimodalTransformers

Qwen3-VL-30B-A3B-Thinking is the most powerful vision-language model in the Tongyi series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning abilities, long context support, strong spatial and video dynamic understanding abilities, and agent interaction capabilities.

MultimodalGguf

Qwen3-VL-30B-A3B-Instruct is the most powerful vision-language model in the Tongyi series. It adopts a mixture-of-experts model architecture and has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities. It supports a 256K long context and video understanding, and can perform inference on a variety of devices.

MultimodalGguf

Qwen3-VL-8B-Thinking is the most powerful vision-language model in the Tongyi Qianwen series, with an 8B parameter version featuring enhanced reasoning capabilities. This model has been comprehensively upgraded in text understanding, visual perception, spatial understanding, long context processing, etc., and supports multimodal reasoning and agent interaction.

MultimodalGguf

Qwen3-VL is the most powerful visual language model in the Tongyi series. It has excellent text understanding and generation capabilities, in - depth visual perception and reasoning abilities, long - context support, strong spatial and video dynamic understanding abilities, and agent interaction capabilities. This repository provides GGUF - format weights, supporting efficient inference on devices such as CPUs and GPUs.

MultimodalTransformers

Qwen3-VL-32B-Instruct is the most powerful vision-language model in the Tongyi series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning abilities, long context support, strong spatial and video dynamic understanding abilities, and agent interaction capabilities.

MultimodalTransformers