Comments (4)
Sorry, we cannot open source the sft data according to the rules of our org.
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I only need the LLaVA-Instruction part for evaluation and personal use, is that OK according to your rules?
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@Yuqifan1117 Hi, you can download the official LLaVA-Instruction from https://github.com/haotian-liu/LLaVA/blob/main/docs/Data.md. The version via manual inspection and annotation is not included in our open source plan.
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Okay thanks! If you have any planned changes in the manually inspection version, please inform me by emall in time! Very thanks!
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Related Issues (20)
- 显存不够,请问支持切分模型吗? HOT 4
- load_in_4bit works but load_in_8bit gives error : self and mat2 must have the same dtype, but got Half and Char HOT 2
- Any change the grounding models can answer normal questions
- Question on vision encoder resolution size HOT 1
- How to add lora matrix to CogAgent model via Peft?
- url = MODEL_URLS[name] KeyError HOT 1
- Unrecognized arguments during fine-tuning HOT 2
- Huggingface版本是否提供lora微调的支持? HOT 3
- 官方代码的hf版本的cogvlm模型推理报错Out of Memory HOT 3
- Please release evaluation prompts HOT 1
- 怎么使用最新的模型? HOT 4
- Could you please provide a simple script to use your multimodel for extracting image features and text features like openclip with encode_image() or encode_text()?
- 如何使用CogVLM finetune训练自有数据集具有视觉定位能力的多模态大模型? HOT 2
- Replacing the 224-image_size EVA model in CogAgent model with the 490-image_size one
- Multi Image Detection HOT 2
- Release quantization scripts HOT 1
- cogvlm模型微调报错(使用Captcha Images数据集) HOT 2
- Key_error :'INV_FREQ' HOT 5
- Inquiry on CogVLM's capacity for comprehension HOT 2
- How long does it take to finetune or train the models? HOT 2
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