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 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

DeepSeek-V3.2-Exp-AWQ is a quantized version based on the DeepSeek-V3.2-Exp model, which achieves efficient text generation through the vLLM framework. This model introduces the DeepSeek sparse attention mechanism, significantly improving the efficiency of long context training and inference while maintaining the quality of the model output.

Natural Language ProcessingTransformers

ModernCamemBERT is a French language model pre-trained on a 1T high-quality French text corpus. It is the French version of ModernBERT, focusing on long contexts and efficient inference speed.

Natural Language ProcessingTransformersFrench