Comments (2)
zRzRzRzRzRzRzR
commented on September 13, 2024
activate
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paulpaul91
commented on September 13, 2024
activate
从checkpoint上来看，vit 用的是EVA02-4B的模型，模型输入分辨率支持1344*1344，说position_id肯定走了插值，想问下EVA02这块的改动，是怎么自适应的？是EVA02-4B单走了CLIP训练，还是说多模态时VIT unfreeze直接硬训EVA02的position-id?
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Related Issues (20)
- 为 Demo 增加 Repetition Penalty 参数设置 HOT 1
- Segmentation fault HOT 3
- 【question】 您好，如果将pdf转换成图片应该怎么让模型同时阅读多种图片并回答问题 HOT 3
- int4的模型精度很低，正常吗 HOT 1
- [question] Zero-3 fine-tuning
- 目前openai_api方式中不支持role:system，导致很难对assistant做一些设定，请考虑添加role:system HOT 2
- 您好，目前不支持多图片问答，请问什么时候开放该功能 HOT 1
- CogVLM如何才能做图像中对象的定位任务呢？ HOT 1
- CogVLM2如何完成图像目标检测或者分割任务？ HOT 2
- error: ‘for’ loop initial declarations are only allowed in C99 mode HOT 1
- 提供 cogvlm2-llama3-chat-19B-Int4 的微调代码 HOT 1
- First time attempt to run demo, its trying to find Python.h HOT 4
- 如何转化为gguf格式的文件 HOT 2
- openAI API使用问题
- openai_api_demo.py失败 HOT 13
- 求int8版本 🌹 int4实测，精度损失有点大，多模态效果不好，int8也许会好很多 HOT 1
- Finetuning learning rate is very small
- memory_efficient_attention to flash_attn HOT 1
- 关于微调的问题
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