DeepDeek-R1多模态版本Align-DS-V开源地址:https://huggingface.co/PKU-Alignment/Align-DS-V align-anything框架地址:https://github.com/PKU-Alignment/align-anything 全模态大模型与全模态对齐:Deepseek R1的百尺竿头下一步 得益于强大的推理与长文本思考能力,DeepSeek R1自开源以来便备受关注。Deepseek R1在...
DeepDeek-R1多模态版本Align-DS-V开源地址:https://huggingface.co/PKU-Alignment/Align-DS-V align-anything框架地址:https://github.com/PKU-Alignment/align-anything 全模态大模型与全模态对齐:Deepseek R1的百尺竿头下一步 得益于强大的推理与长文本思考能力,DeepSeek R1自开源以来便备受关注。Deepseek R1在...
mvREADME.mdPKU-Alignment/Align-DS-V/ mv assets PKU-Alignment/Align-DS-V/ mv .gitattributes PKU-Alignment/Align-DS-V/ 4、安装align-anything框架(这是训练和评估用的,现在貌似用不着) cd git clone git@github.com:PKU-Alignment/align-anything.git git clone https://github.com/PKU-Alignment/align-...
北大-灵初联合实验室表示,Align-DS-V的多模态强推理能力是VLA模型大脑端的核心,接下来的研究训练计划,是利用多模态推理模型的跨模态穿透能力,实现action穿透,最终实现真正高效的VLA模型。 同样的后训练技术也可以应用于小脑端控制器的微调,实现更高的成功率、泛化性和鲁棒性。 Align-Anything框架开源地址: https://...
/etc/ascend_install.info \ -v /share/alignmentforever/Align-DS-V-72B:/models/Align-DS-V-72B \ quay.io/ascend/vllm-ascend:v0.7.3-dev \ bash docker cp modify/setup.py test-vllm:/workspace/vllm-ascend/setup.py docker cp modify/__init__.py test-vllm:/workspace/vllm-ascend/vllm_...
* **[2025.02.28]** 🤗🤗🤗 We open-sourced [🤗Align-DS-V](https://huggingface.co/PKU-Alignment/Align-DS-V), an experimental vision-language model based on [DeepSeek-R1-Distill-Llama-8B](https://github.com/deepseek-ai/DeepSeek-R1), which enhances reasoning by incorporating additio...
(2)conda中安装tmalign后仅能在命令行中进行调用。若想在pymol界面使用tmalign进行结构比对并可视化还需要按照如下流程安装cmd脚本。在https://raw.githubusercontent.com/Pymol-Scripts/Pymol-script-repo/master/tmalign.py中下载tmalign.py脚本。tmalign.py内容如下所示: ...
AI大模型的“全模态“化已成为大势所趋,您忠实的电子谋士:北大对齐小组,为陛下您准备了全套的科研入门资源,完全免费,不是卖课:相关资源:代码链接:https://github.com/PKU-Alignment/align-anything 模型链接:https://huggingface.co/PKU-Alignment/Align-DS-V SFT数据集链接:https://huggingface.co/datasets/PKU-...
I should be able to tidy up the REDUCE / HSTACK which are simply ugly workarounds for a MAP version that returns arrays of arrays, but I have rather run out of steam!
As said, far from perfect, but I hope it gives you an idea of what is possible with PQ, in case you want to pursue this further. Otherwise, VLOOKUP or XlOOKUP will work as well, but you need to check and clean your data, and add a column with the V(X)LOOKUP formula, for every...