Gemma 3n E4B IT is a lightweight multimodal open model launched by Google, built based on the same research as the Gemini model. This model supports text, audio, and visual inputs and is suitable for various tasks. It uses the MatFormer architecture to achieve efficient parameter utilization.

MultimodalTransformers

Gemma 3 is a lightweight open-source multimodal model launched by Google. This version is an instruction-tuned quantization-aware training model with 12B parameters, which has been converted to the MXFP4 format of the MLX framework. It supports text and image input and generates text output, with a 128K context window and support for over 140 languages.

MultimodalMlx

Hunyuan OCR is an end-to-end OCR expert VLM model driven by the Hunyuan native multimodal architecture. With a lightweight design of only 1 billion parameters, it has achieved state-of-the-art results in multiple industry benchmark tests. This model excels in handling complex multilingual document parsing and performs well in practical application scenarios such as text localization, open-domain information extraction, video subtitle extraction, and image translation.

MultimodalTransformersMultiple Languages

The MLX MXFP4 quantized version of Gemma 3 27B IT QAT is a lightweight open - source multimodal model developed by Google. This model can simultaneously process text and image inputs and generate text outputs. It has a large context window of 128K and supports over 140 languages, making it suitable for various text generation and image understanding tasks.

MultimodalMlx

Gemma 3 270M is a lightweight multimodal model launched by Google. Based on the same research technology as the Gemini series, it supports text and image input, has a 32K context window, and provides high-quality output in tasks such as question answering, summarization, image understanding, and code generation.

MultimodalTransformersMultiple Languages

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, capable of processing text and image inputs and generating text outputs. It has a 128K large context window, supports over 140 languages, and is suitable for various tasks such as text generation and image understanding.

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 3 is a lightweight and state-of-the-art open-source multimodal model family launched by Google, supporting over 140 languages and having the capabilities of text generation and image understanding. The 270M parameter version is designed for resource-constrained environments and can be deployed on devices such as laptops and desktops.

MultimodalTransformers

Gemma 3 is a lightweight and state-of-the-art multimodal open model family launched by Google, built on the same research and technology as the Gemini model. This model can handle text and image inputs and generate text outputs. It has a large context window of 128K and supports over 140 languages, offering various sizes ranging from 270M to 27B.

MultimodalTransformers

Gemma 3 is a lightweight, state-of-the-art multimodal open model family launched by Google. It can handle text and image inputs and generate text outputs. It has a 128K large context window, supports over 140 languages, and offers a variety of scale options from 270M to 27B, suitable for various text generation and image understanding tasks.

MultimodalTransformers

Gemma 3n is a multimodal lightweight open-source model based on the Google Gemma model, supporting text, image, video, and audio inputs. It is optimized for low-resource devices.

MultimodalTransformers

Gemma 3n is a lightweight, state-of-the-art multimodal open model launched by Google, built on Gemini technology. It is designed for low-resource devices, supporting text, image, video, and audio inputs and generating text outputs. It uses selective parameter activation technology to run efficiently with a 4B parameter scale.

MultimodalTransformersEnglish

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 model family launched by Google, supporting multimodal input and output.

MultimodalTransformers

Gemma 3n is a lightweight, state-of-the-art open-source multimodal model launched by Google. It adopts a novel architecture with fewer effective parameters, supports text, image, and audio input, and is suitable for environments with limited resources, which can contribute to content understanding and innovation in various industries.