- **[2023.05.23]** We release the [demos](http://llama-adapter.opengvlab.com/) and [multi-modal code](llama_adapter_v2_multimodal) of LLaMA-Adapter V2! - **[2023.05.23]** We release the [demos](http://llama-adapter.opengvlab.com/) and [multi-modal code](llama_adapter_v2_multim...
LLaMA-Adapter作为一种轻量级的即插即用模块,仅有1.2M的参数、4.9M的存储空间和1小时的训练时间。这使得我们能够在廉价和移动设备上对大规模语言模型LLaMA进行高效微调。 在上Table 2中,作者将LLaMA-Adapter与其它较为流行的视觉问答模型进行了比较,并发现LLaMA-Adapter的单模态变体可以在只有1.2M参数的情况下实现78.31...
Official implementation of'LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention'and'LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model'. This repo proposesLLaMA-Adapter (V2), a lightweight adaption method for fine-tuningInstruction-followingandMulti-modalLLaMAmodels...
特别说明一下,现在的LLaMA-v1基本上已经被抛弃了,在meta已经搞不到custom URL了,但是现在的多模态模型还没有全部更新到v2(例如LLaMA-Adapter就还没更新稳定版),只能当先驱hhh。但是用LLaMA-Accessory就可以避免这个问题,checkpoint都是他们训练好直接release的,不需要再下载llama-v2 backbone,比较方便。 动手能力强的...
特别说明一下,现在的LLaMA-v1基本上已经被抛弃了,在meta已经搞不到custom URL了,但是现在的多模态模型还没有全部更新到v2(例如LLaMA-Adapter就还没更新稳定版),只能当先驱hhh。但是用LLaMA-Accessory就可以避免这个问题,checkpoint都是他们训练好直接release的,不需要再下载llama-v2 backbone,比较方便。
Visual Question AnsweringMM-VetLLaMA-Adapter v2-7BGPT-4 score31.4±0.1# 190 Compare Params7B# 1 Compare Zero-Shot Video Question AnswerMSRVTT-QALLaMA Adapter-7BAccuracy43.8# 29 Compare Confidence Score2.7# 25 Compare Zero-Shot Video Question AnswerMSVD-QALLaMA Adapter-7BAccuracy54.9# 26 ...
(LoRA|Prefix Tuning|P-Tuning v1|P-Tuning v2|Prompt Tuning|AdaLoRA|LLaMA-Adapter|IA3)和模型(Causal Language Modeling|Conditional Generation|Sequence Classification|Token Classification|Text-to-Image Generation|Image Classification|Image to text (Multi-modal models)|Semantic Segmentation)的具体代码实现[4...
(LoRA|Prefix Tuning|P-Tuning v1|P-Tuning v2|Prompt Tuning|AdaLoRA|LLaMA-Adapter|IA3)和模型(Causal Language Modeling|Conditional Generation|Sequence Classification|Token Classification|Text-to-Image Generation|Image Classification|Image to text (Multi-modal models)|Semantic Segmentation)的具体代码实现[4...
(LoRA|Prefix Tuning|P-Tuning v1|P-Tuning v2|Prompt Tuning|AdaLoRA|LLaMA-Adapter|IA3)和模型(Causal Language Modeling|Conditional Generation|Sequence Classification|Token Classification|Text-to-Image Generation|Image Classification|Image to text (Multi-modal models)|Semantic Segmentation)的具体代码实现[4...
@article{gao2023llamaadapterv2, title = {LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model}, author={Gao, Peng and Han, Jiaming and Zhang, Renrui and Lin, Ziyi and Geng, Shijie and Zhou, Aojun and Zhang, Wei and Lu, Pan and He, Conghui and Yue, Xiangyu and Li, Hongsheng...