InternVL3 5 38B AWQ 8bit Method vllm project/llm compressor and nvidia/Llama Nemotron Post Training Dataset were used to quantize the original model. For further quantization arguments and configurations information, please visit config.json and recipe.yaml. InternVL3 5 38B [\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5 MPO\]](https://huggingface.co/papers/2411.10442) [\[📜 InternVL3\]](https://huggingface.co/papers/2504.10479) [\[📜 InternVL3.5\]](https://huggingface.co/papers/2508.18265) [\[🆕 Blog\]](https://internvl.github.io/blog/) [\[🗨️ Chat Demo\]](https://chat.intern ai.org.cn/) [\[🚀 Quick Start\]]( quick start) [\[📖 Documents\]](https://internvl.readthedocs.io/en/latest/) Introduction We introduce InternVL3.5 , a new family of open source multimodal models that significantly advances versatility, reasoning capability, and inference efficiency along the InternVL series. A key innovation is the Cascade Reinforcement Learning (Cascade RL) framework, which enh…
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