Comments (5)
Hi @yavuzc78,
Thank you for your interest in our work. The --base-model-path
should point out to the LLaMA checkpoints, which can be obtained following the instructions here.
python scripts/apply_delta.py \
--base-model-path <path to LLaMA 7B weights> \
--target-model-path LLaVA-Lightning-7B-v1-1 \
--delta-path liuhaotian/LLaVA-Lightning-7B-delta-v1-1
Alternatively you can download the ready LLaVA-Lightening-7B weights from mmaaz60/LLaVA-Lightening-7B-v1-1.
from video-chatgpt.
Hey @mmaaz60 @hanoonaR after downloading the ready LLaVA-Lightening-7B weights from mmaaz60/LLaVA-Lightening-7B-v1-1.
where do we need to put that? path is not mentioned in the readme. If you could please tell me. That would really help.
from video-chatgpt.
Hi @charchit7
You can store it anywhere and pass it as --model-name
argument while running the demo.
python video_chatgpt/demo/video_demo.py
--model-name <path to the LLaVA-Lightening-7B-v1-1 weights prepared in step 3> \
--projection_path <path to the downloaded video-chatgpt weights>
from video-chatgpt.
Got it. Thank you @mmaaz60 for a prompt reply :)
from video-chatgpt.
Hey @mmaaz60 it works and the whole code base is beautifully written. Thank you!
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Related Issues (20)
- Llava Weights not available for running demo offline HOT 2
- Can I deal with Chinese video? HOT 1
- Clarification Needed on the Role of **QA_GT_caption_based_noisy** in the Dataset HOT 1
- Why is OpenAI used for Activitynet-QA Evaluation? HOT 3
- About zero-shot test on TGIF-QA HOT 1
- Fail to execute Video-ChatGPT offline demo (when click "Upload Video") HOT 7
- Code for Dataset Generation HOT 1
- Train errors: some videos in train_video_ids.txt do not appear in activity_clip-14L_spatio_temporal_356 HOT 2
- What is the formal name of the benchmark? HOT 3
- GPT Judge does not work for the Prompt
- 13B, 70B models HOT 1
- RuntimeError: Internal: src/sentencepiece_processor.cc(1101) [model_proto->ParseFromArray(serialized.data(), serialized.size())] HOT 5
- I encountered an error while using "Run the Demo". HOT 3
- Insufficient VRAM on a single card, how to utilize multiple cards for inference HOT 2
- Question about consistency evaluation HOT 3
- The responses from the offline_demo are garbled HOT 2
- Why TGIF videos missed and can't be processed HOT 3
- How to download the ready LLaVA-Lightening-7B weights HOT 5
- Download videos HOT 1
- How many frames are sampled per video for the training and testing process? HOT 5
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from video-chatgpt.