zai-org/VisualGLM-6B
Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型
Built on ChatGLM-6B with BLIP2-Qformer bridging visual and language representations, it aligns 30M Chinese and 300M English image-text pairs during pretraining. Supports efficient parameter tuning through LoRA, QLoRA, and P-tuning via the SwissArmyTransformer framework, enabling deployment on consumer GPUs with INT4 quantization requiring as little as 6.3GB VRAM.
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