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README.md

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 license: apache-2.0
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 # AndesVL-4B-Instruct
-AndesVL is a suite of mobile-optimized Multimodal Large Language Models (MLLMs) with **0.6B to 4B parameters**, built upon Qwen3's LLM and various visual encoders. Designed for efficient edge deployment, it achieves first-tier performance on diverse benchmarks including text-rich, reasoning, VQA, and GUI tasks, notably introducing AndesUI-Bench for mobile UI comprehension. Its 1+N LoRA architecture and QALFT framework facilitate efficient task adaptation and compression, maintaining performance (2% degradation) and enabling 200 tokens/s decoding with 1.7 bits/weight compression on mobile chips.
+AndesVL is a suite of mobile-optimized Multimodal Large Language Models (MLLMs) with **0.6B to 4B parameters**, built upon Qwen3's LLM and various visual encoders. Designed for efficient edge deployment, it achieves first-tier performance on diverse benchmarks, including those for text-rich tasks, reasoning tasks, Visual Question Answering (VQA), multi-image tasks, multilingual tasks, and GUI tasks. Its "1+N" LoRA architecture and QALFT framework facilitate efficient task adaptation and model compression, enabling a 6.7x peak decoding speedup and a 1.8 bits-per-weight compression ratio on mobile chips.
 
 Detailed model sizes and components are provided below: