Riding the awesomeness wave again!

Nice, very helpful! Is it possible to create embeddings of pictures with the model?

Thanks for the video, how to make sure that I install Ollama on the GPU not on the CPU?

Thanks :) Is it possible to use this model as an ocr alternativ to get for example informationen from a jpeg image which is an id-card ?

@sumukhas5418

8 күн бұрын

This will be too much heavy for just that Instead considering yolo would be a better option

@wasgeht2409

6 күн бұрын

@@sumukhas5418 Thanks for the answer :) Actually I am trying pytesseract to read id-card information, which are photographed by a phone and the results are not very good :/ Do you have some ideas, how I could get some better results?

If my local ram is 8 gb, which ollama model would you recommend to use?

@WebWizard977

6 күн бұрын

deepseek-coder ❤

@WebWizard977

6 күн бұрын

deepseek-coder ❤

What a nice vid. Can I do a ai without using open ai ?

Hi could you please explain why someone has to refresh to get some reasonable output at least what we expect !? Why does something like this happens with such ai models ?

@aigapol123

6 күн бұрын

Each Input for the model comes with a random seed, that's why you don't get the same responses with the same input every time, because of that you could try multiple times until you get a reasonable response.

First comment 😊😊😊

How much RAM and VRAM needed ?!

@RedFoxRicky

7 күн бұрын

With 4-bit quantization, for LLaVA-1.5-7B, it uses less than 8GB VRAM on a single GPU, typically the 7B model can run with a GPU with less than 24GB memory, and the 13B model requires ~32 GB memory. You can use multiple 24-GB GPUs to run 13B model

oh im too fast