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[Request] 好像不支持 Ollama 的 llama3.2-vision 图片 #4642
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Thank you for raising an issue. We will investigate into the matter and get back to you as soon as possible. |
|
Is there any setting for |
{
"messages": [
{
"content": "图片中有什么?\n\n\n<files_info>\n<images>\n<images_docstring>here are user upload images you can refer to</images_docstring>\n<image name=\"截屏2024-05-22 17.52.16.png\" url=\"https://s3-lobechat.tabun.pro/files/480846/875b55ec-923a-48ce-b1e3-0730c4a92794.png\"></image>\n</images>\n\n</files_info>",
"role": "user"
}
],
"model": "llama3.2-vision",
"options": {
"frequency_penalty": 0,
"presence_penalty": 0,
"temperature": 0.35,
"top_p": 1
},
"stream": true
} 设置了环境变量 LLM_VISION_IMAGE_USE_BASE64=1 也还是一样 |
{
"messages": [
{
"content": "What's in the picture?\n\n\n<files_info>\n<images>\n<images_docstring>here are user upload images you can refer to</images_docstring>\n<image name=\" Screenshot 2024-05-22 17.52.16.png\" url=\"https://s3-lobechat.tabun.pro/files/480846/875b55ec-923a-48ce-b1e3-0730c4a92794.png\"></image>\n</images>\n\n</ files_info>",
"role": "user"
}
],
"model": "llama3.2-vision",
"options": {
"frequency_penalty": 0,
"presence_penalty": 0,
"temperature": 0.35,
"top_p": 1
},
"stream": true
} Setting the environment variable LLM_VISION_IMAGE_USE_BASE64=1 still the same |
看这个 #3888 好像还没实现Ollama url 转 base64,不过有的Ollama模型又可以识别图片 This appears to be an XML (Extensible Markup Language) file that contains information about a single image. Here's a breakdown of the contents:
In summary, this XML snippet describes a single image file with its filename and URL. The context appears to be a web application or API that handles file uploads, as hinted by the |
好像是 database 版本不行,先上传图片至 S3 之后,image_url 就变成真的 URL 了,而不是
|
It seems that the database version is not working. After uploading the image to S3 first, the image_url becomes the real URL instead of
|
- Fix image data not being passed to correct field in API request - Enable proper image recognition functionality for llama3.2-vision model fix lobehub#4642 Related lobehub#3888
- Fix image data not being passed to correct field in API request - Enable proper image recognition functionality for llama3.2-vision model fix lobehub#4642 Related lobehub#3888
- Fix image data not being passed to correct field in API request - Enable proper image recognition functionality for llama3.2-vision model fix lobehub#4642 Related lobehub#3888
- Fix image data not being passed to correct field in API request - Enable proper image recognition functionality for llama3.2-vision model fix lobehub#4642 Related lobehub#3888
- Fix image data not being passed to correct field in API request - Enable proper image recognition functionality for llama3.2-vision model fix lobehub#4642 Related lobehub#3888
🥰 需求描述
Ollama 0.4.0 支持了 llama3.2-vision 模型,可以识别图片。https://ollama.com/blog/llama3.2-vision
目前尝试了在 LobeChat v1.28.4 中调用了 llama3.2-vision 模型,发现不能正确处理图片。
从日志可以看到相关请求体:
看起来是把图片放在 content 中了,ollama 的 llama3.2-vision 模型的支持方式可能不同。
希望能够支持一下,谢谢🙏!
🧐 解决方案
从 ollama 的文档看,应该是类似以下的格式:
既图片需要 base64 encode 之后放在 images 中,而且是一个数组。
📝 补充信息
No response
The text was updated successfully, but these errors were encountered: