UIGENT-30B-Lora-200 is a large language model fine-tuned based on Qwen3-Coder-30B-A3B-Instruct. It is specifically optimized for text generation tasks and is particularly good at handling HTML-related content. It also has various text generation capabilities.

Natural Language ProcessingTransformers

UIGEN-FX-4B-Preview is a UI generation model with 4 billion parameters, specifically optimized for front-end development. It can perform like a front-end engineer in 22 frameworks. This model focuses on generating semantic HTML code, with excellent layout rhythm, spacing control, and component combination capabilities, suitable for quickly generating single-file web pages.

Natural Language ProcessingTransformersEnglish

This is a GGUF format model converted from Tesslate/WEBGEN-4B-Preview, specifically designed for web page generation and UI design tasks. The model uses the Q4_K_M quantization format, which reduces the model size while maintaining good performance.

Natural Language ProcessingTransformersEnglish

The quantized version of UIGEN-X-8B is committed to making knowledge accessible to the public. This model is optimized based on Tesslate/UIGEN-X-8B to provide more efficient inference performance.

Natural Language ProcessingGguf

This is a quantized model based on ONNX, which is the uint8 quantized version of Qwen/Qwen3-Embedding-0.6B. It reduces the model size while maintaining retrieval performance.

Natural Language ProcessingSentence-transformers

A quantized version based on the ByteDance-Seed/UI-TARS-1.5-7B model, using GPTQ technology for 4-bit weight quantization and 16-bit activation quantization to achieve the function of converting image-text to text, with efficient inference performance.

MultimodalSafetensors

UI-TARS-1.5-7B is a multimodal model based on advanced technology, which performs excellently in tasks such as image-text conversion. It adopts an innovative quantization method and can maintain high accuracy at extremely low bit rates.

MultimodalTransformersMultiple Languages

UI-R1-E-3B is an efficient GUI positioning model fine-tuned based on Qwen2.5-VL-3B-Instruct, specializing in visual question-answering tasks, particularly excelling at locating and identifying operational elements in user interface screenshots.

MultimodalSafetensorsEnglish

This is the GGUF quantized version of the ByteDance-Seed/UI-TARS-1.5-7B model, specifically optimized for GUI interface understanding and multimodal tasks. The model uses 4-bit quantization technology to significantly reduce the model size and memory requirements while maintaining performance.

MultimodalTransformersMultiple Languages

UIGEN-T2 is a UI generation model fine-tuned from Qwen2.5-Coder-7B-Instruct, specializing in generating HTML and Tailwind CSS code

Natural Language ProcessingGguf

UI-TARS-1.5-7B-6bit is a vision-language model converted based on the MLX format, supporting image understanding and text generation tasks.

MultimodalTransformersMultiple Languages

UI-TARS-1.5-7B-4bit is a multimodal model focused on image-text-to-text conversion tasks, supporting the English language.

MultimodalTransformersMultiple Languages

UI-TARS is the next-generation native GUI intelligent agent model, which has human-like perception, reasoning, and action capabilities, and can seamlessly interact with the graphical user interface (GUI).

MultimodalTransformersMultiple Languages

UI-TARS is the next-generation native GUI agent model with human-like perception, reasoning, and action capabilities, enabling seamless interaction with the graphical user interface (GUI).

MultimodalTransformersMultiple Languages

Raptor-X5-UIGEN is a large language model based on the Qwen 2.5 14B multimodal architecture, specializing in UI design, minimalist coding, and content-intensive development, with enhanced reasoning capabilities and structured response generation.

Natural Language ProcessingTransformersEnglish

UIGEN-T1.5 is an advanced Transformer UI generation model fine-tuned from Qwen2.5-Coder-32B-Instruct, specifically designed for generating modern and unique front-end user interfaces.

Natural Language ProcessingTransformersEnglish

An advanced UI generation model fine-tuned based on Qwen2.5-Coder-7B-Instruct, excelling in generating modern and visually appealing HTML/CSS code.

Natural Language ProcessingTransformersEnglish

An advanced Transformer-based interface generation model fine-tuned on Qwen2.5-Coder-14B-Instruct, specializing in generating modern and unique frontend user interfaces

Natural Language ProcessingTransformersEnglish

UI-R1 is a vision-language model enhanced by reinforcement learning for GUI agent action prediction, built upon Qwen2.5-VL-3B-Instruct.

MultimodalSafetensorsEnglish

Fintor-GUI-S2 is a GUI foundation model fine-tuned based on UI-TARS-7B-DPO, specializing in multimodal tasks for graphical user interfaces (GUI).

MultimodalTransformersMultiple Languages