Comments (10)
Please check out demo page http://llama-adapter.opengvlab.com/
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Pretrained weights have been released.
https://github.com/ZrrSkywalker/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal
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Demo and pretrained checkpoint of LLaMa Adapter V2 will be released in a few days. Sorry for the long waiting.
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If there is no vision_tokens, can adapter_prompt in the first layer still be used to compute adaption_output and added to original attention_output?
If no vision tokens (for GPT4LLM / Alcapca dataset), we generate a pseudo image with all zeros pixel.
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I just public my attempt implementation of multi-modal llama-adapter-v2 here, this is just for learning purpose, if there are any incorrect implements, I would really appreciate for anyone to point out.
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I'm also looking forwards to seeing the training code. There are some ambiguities in the paper; the way the V2 models are trained is not immediately obvious from the paper.
As for 3.) I would guess that they probably do batches of mixed instruction-following and the image-caption items.
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I'm also looking forwards to seeing the training code. There are some ambiguities in the paper; the way the V2 models are trained is not immediately obvious from the paper.
As for 3.) I would guess that they probably do batches of mixed instruction-following and the image-caption items.
I didn't mix instruction-following data and image caption data in one batch, for the weights update are disjoint (at least I think so)
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Hi! first of all, thank you very much for publish this great work! I just read the code, and think the model framework is very similar to X-LLM, do you think this structure used in your and their work will be the standard way to build unified multi-modal LLMs?
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https://github.com/ZrrSkywalker/LLaMA-Adapter/tree/main/imagebind_LLM
pretraining/finetuning/inference code has been released. We support image/video/text/autio/point cloud input and bilingual(chinese/english) response.
Sorry for the long waiting. Hope you enjoy our code.
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This is awesome! 🔥 🔥 Thank you so much! ❤️
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Related Issues (20)
- Could you please provide these weight with me? HOT 2
- Unable to produce the result between LLaMA-Adapter V1 and Alpaca HOT 1
- question about Pretrained LLAMA applicable to Llama_adapter model. thanks HOT 1
- I don't know which data to use to reproduce the model llama-adapter-multimodal-v2.
- Does storage space in the paper mean the capacity of checkpoint file? HOT 2
- Inquiry on Loading LLaMa-2 Model Parameters HOT 1
- how to set llama adapter max_seq_len = 4096
- [LLaMA Adapter V2] Evaluation on multiple choice questions. HOT 1
- AssertionError: Loading a checkpoint for MP=0 but world size is 1 HOT 2
- Don't find save path"ADAPTER_PATH" HOT 1
- Getting error "AF_UNIX path too long"
- Loss is nan, stopping training, while trying to reproduce alpaca_finetuning_v1 results. HOT 1
- Simple question about llama adapter v1 transformer forward function
- imagebind_LLM中的get_chinese_llama.py文件丢失,可以补充一下吗? HOT 1
- Getting weird output for multimodal 7B adapter HOT 3
- Assertation Error start_pos- AdapterV2 Multimodal
- The meaning of C_loss and M_loss HOT 1
- what is the dataset during pretraining llama_adapter_v2_multimodal7b?
- RuntimeError: CUDA out of memory
- RuntimeError: [enforce fail at CPUAllocator.cpp:68] . DefaultCPUAllocator: can't allocate memory: you tried to allocate 90177536 bytes. Error code 12 (Cannot allocate memor y)
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