Comments (1)
Question
Can the chatbot have multiple sequential images as input? I'm trying to predict the pedestrian trajectory and my inputs are multiple frames of a video. How can the model understand sequential images?
It doesn't. Have a look at the video Llava repo
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Related Issues (20)
- [Usage] What is the number of images needed for fine tuning,
- [Question] 如何从中间的checkpoint继续训练
- 'LlamaConfig' object has no attribute 'quantization_config'
- errors in MME evaluation
- 🎉🎉We have supported open-source training implementation of LLaVA-NeXT series!
- [Question] Why apply the causal mask to image tokens in the attention operations of LLM?
- Where does the video interpolate indicates in the code?
- [Question] about the --vision_tower in the scritps
- Can we use this model to identify between real and AI generated/fake image?
- load_dataset(liuhaotian/LLaVA-Instruct-150K) fails with error, when generating train split: 394276 examples HOT 1
- How to perform cross-validation during the fine-tuning process?[Question]
- Does vistion tower trained during starge 2 (Visual Instruction Tuning)?
- Batch size to reproduce llava-1.5-7B
- [Usage] How to resume a LoRA training ?
- [Usage] Error when loading adapter_model.safetensors HOT 2
- [Usage] When running Example Code in colab, CuDA out of memory is reported HOT 2
- [Usage] Merging LoRA weights using the script "LLaVA/scripts/merge_lora_weights.py" results in a model size about two times larger than the original Llama2 model.
- [Usage] Both demo links are down! Would you please check them out? HOT 1
- How to fine-tune llava-v1.6-mistral-7b on GQA dataset HOT 2
- [Question] Clarification on the Threshold for "Sufficient" Task-Specific Data for Full-Model Finetuning
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