Uni-MoE 2.0-Omni is a fully open-source full-modal model launched by Lychee Technology. It adopts the full-modal 3D RoPE and dynamic-capacity mixture-of-experts architecture, significantly enhancing the language-centered multi-modal understanding, reasoning, and generation capabilities. This version integrates full-modal understanding as well as audio and image generation capabilities.

MultimodalTransformersMultiple Languages

This is an open-source LoRA model developed by FlyMy.AI, specifically designed for Qwen-Image-Edit, focusing on in-scene image editing. It enhances the control ability of scene composition and object positioning through low-rank adaptation technology.

MultimodalDiffusersEnglish

InternVL3.5-4B is a medium-scale version in the open-source multimodal model series, achieving significant progress in generality, reasoning ability, and reasoning efficiency, and supporting new capabilities such as GUI interaction. The model adopts a cascaded reinforcement learning framework and visual resolution router technology to achieve efficient multimodal understanding and reasoning.

MultimodalTransformersOther

InternVL3_5-38B is a member of the open-source multimodal model InternVL3.5 series, which has made significant progress in versatility, reasoning ability, and reasoning efficiency. It supports multiple languages and can be applied to image-text-to-text tasks. It uses a cascaded reinforcement learning framework and visual resolution router technology to optimize performance.

MultimodalTransformersOther

InternVL3.5-4B is a medium-scale version of the open-source multimodal model series, containing 470 million parameters. It adopts an advanced cascaded reinforcement learning framework and visual resolution router technology, significantly improving the multimodal reasoning ability and efficiency.

MultimodalTransformersOther

Seed-OSS-36B-Instruct is a large language model developed by ByteDance-Seed, with 36 billion parameters and released under the Apache 2.0 open-source license. This model is built on the transformers library, supports vllm and mlx technology optimization, and has undergone 8-bit quantization specifically for Apple Silicon chips, providing efficient text generation capabilities.

Natural Language ProcessingTransformers

Gemma 3 is a lightweight, state-of-the-art open-source model family launched by Google, built on the same research and technology as the Gemini model. This model has multimodal processing capabilities, supports text and image inputs, and generates text outputs, making it suitable for various text generation and image understanding tasks.

MultimodalTransformers

Gemma 3 is a lightweight and state-of-the-art open-source multimodal model family launched by Google, built on the same research and technology as the Gemini model. The 270M version is an instruction-tuned model that uses Quantization-Aware Training (QAT), which can significantly reduce memory requirements while maintaining quality similar to bfloat16.

MultimodalTransformers

Gemma 3 is a lightweight open-source multimodal model series launched by Google, built on the same technology as Gemini. The 270M version is the smallest model in the series, supporting text and image input, with a 128K context window, suitable for deployment in resource-constrained environments.

MultimodalTransformers

Gemma 3 is a lightweight open-source multimodal model family launched by Google, built on the same research technology as Gemini. The 270M version is the smallest instruction-tuned model among them, supporting over 140 languages and having a 32K context length, suitable for text generation tasks in resource-constrained environments.

MultimodalTransformers

Gemma 3 is a lightweight and state-of-the-art open-source multimodal model family launched by Google, built on the same research and technology as the Gemini model. The 270M version is the smallest model among them, capable of handling text and image inputs and generating text outputs, suitable for various text generation and image understanding tasks.

MultimodalTransformers

Gemma 3n-E2B-it is a lightweight open-source multimodal model launched by Google, built on the same technology as Gemini and optimized for low-resource devices.

MultimodalTransformersEnglish

Gemma 3n is a lightweight and state-of-the-art open-source multimodal model family launched by Google, built on the same research and technology as the Gemini model. It supports text, audio, and visual inputs and is suitable for various tasks.

MultimodalTransformers

Gemma 3n is a lightweight and state-of-the-art open-source multimodal model family launched by Google. It is built on the same research and technology as the Gemini model and supports text, audio, and visual inputs.

MultimodalTransformers

Gemma 3 is a lightweight, state-of-the-art open-source multimodal model family launched by Google. It is built on the same research and technology as the Gemini model, supporting text and image inputs and generating text outputs.

MultimodalTransformers

Integrates the top 14B reasoning and code models from the open-source community, using SCE merging technology, with Qwen2.5-Coder-14B as the base model for fusion.

Natural Language ProcessingTransformersMultiple Languages

Gemma 3 is a lightweight open-source multimodal model introduced by Google, built on the same technology as Gemini, supporting text and image inputs to generate text outputs.

MultimodalTransformersEnglish

Gemma 3 is a lightweight open-source multimodal model series developed by Google, built on Gemini technology, supporting text and image inputs with text outputs. The 1B version has undergone instruction tuning and quantization-aware training (QAT), making it suitable for deployment in resource-constrained environments.

MultimodalTransformers

Gemma 3 is Google's lightweight open-source multimodal model series based on Gemini technology, supporting text and image inputs with text outputs. The 12B version undergoes instruction tuning and quantization-aware training (QAT), making it suitable for deployment in resource-limited environments.

MultimodalTransformers

Gemma 3 is a lightweight open-source multimodal model introduced by Google, built on the same technology as Gemini, supporting text and image inputs to generate text outputs.

MultimodalTransformers