DAMO-NLP-SG / DAMO-NLP-SG/VideoLLaMA2

how to finetune Videollama2 chat models using QLoRA and LoRA.

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Dominant language
Python
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Description

how to finetune Videollama2 chat models using QLoRA and LoRA.

...
--data_path datasets/custom_sft/custom.json
--data_folder datasets/custom_sft/
--pretrain_mm_mlp_adapter CONNECTOR_DOWNLOAD_PATH (e.g., DAMO-NLP-SG/VideoLLaMA2-7B-Base)
...

here you have mentioned only the base models.

Contributor guide

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Research direction

Start with the fine-tuning command fragments in the issue, especially datasets/custom_sft/custom.json, datasets/custom_sft/, and the pretrain_mm_mlp_adapter value. Document the missing chat-model procedure for QLoRA and LoRA, including how the referenced model paths should be used, and verify that the resulting instructions are complete.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai, machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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