Comments (8)
please do, I know you do not owe the open source community anything but you have claimed to os 'soon' the code of training for llava-next since january. Llava 1.6 has much better perf than llava 1.5 in most use cases especially ocr related and it would be really great to be able to ft locally some useful vlms capable to perform tasks at a higher efficiency.
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Related Issues (20)
- output of the demo code HOT 1
- videos of LLaVA-NeXT-interleave HOT 1
- When will mm_use_im_start_end be implemented in pre-training?
- LLaVA-NeXT-Interleave Training Details HOT 3
- how to get results? HOT 1
- Do we have some inference accelerate method for new llava-next-video models? HOT 1
- Eval results HOT 6
- How many A100s used for training? HOT 1
- Is LLaVA-NeXT-interleave 7B model availble? HOT 6
- Question about M4-Instruct datasets HOT 3
- Question regarding multi image inference - import vs demo HOT 3
- where is python3 llavavid/eval/eval_activitynet_qa.py? HOT 2
- question about the demo implementation HOT 2
- When will the training code be available? HOT 7
- Training dataset
- Requiremet File HOT 3
- Eval Results HOT 5
- Any plans to support vLLM?
- Can we add preprocessor_config.json for llava-next-interleave-qwen-7b model on Huggingface? HOT 1
- Chinese OCR Fine-tuning
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