Comments (6)
If you want detailed and accurate answer, you should use cogvlm-chat.
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Hello @1049451037,
what would be the best parameters for temperature, top_p, top_k, for the model to generate the most detailed and accurate answers (i.e. image captions)?
thank you
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cc @iyuge2
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If you want detailed and accurate answer, you should use cogvlm-chat.
thanks, cogvlm-chat works well.
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@1049451037 is cogvlm-chat model weights are purposable for commercial applications ? , I have seen the paper , it seems their training data is some what came from gpt4-text right ? asking this clarification
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the web demo are updated,and cogagent-chat cogvlm-chat cogvlm-grounding will be used
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Related Issues (20)
- Installation instructions are insufficient HOT 1
- 用cogagent-chat-hf直接做预测结果中出现数字列表(basic-demo) HOT 4
- 关于模型量化 HOT 14
- GPU selection / multi-GPU HOT 2
- Deploy HOT 2
- Chat using one image and three prompt
- CogVLM是开放中文模型了吗,开源模型是否已经支持中文提问回答以及中文数据微调呢? HOT 1
- [CogVLM-chat-v1.1] LM weights are different with vicuna-7b-v1.5 HOT 3
- Running Gradio app locally results in inappropriate error: "NETWORK ERROR DUE TO HIGH TRAFFIC. PLEASE REGENERATE OR REFRESH THIS PAGE." HOT 1
- Using CogVLM as an API HOT 1
- Code of finetuning the cogagent on Mind2Web ? HOT 1
- Deploy CogVLM using Docker
- Could we replace the vicuna-7b directly with stronger llm? HOT 1
- 我想用同样的promt,在每次都清除上下文的情况下得到3种答案,为什么结果都是一样的 HOT 2
- Chat with PDF documentation instead of images
- CogAgent 视觉预训练模型 EVA2-CLIP-L
- CogVLM源代码是否支持多轮对话训练 HOT 4
- 关于模型视觉定位原理
- 运行微调脚本报错缺少相关参数 HOT 2
- 如何构建CogAgent的微调数据集? HOT 1
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