Longnet handles that case better in my opinion. It does not need as much memory as vanilla attention, but it also does not discard as much information as this implementation. Here is a very good video on how longnet works https://www.youtube.com/watch?v=nC2nU9j9DVQ
lynx
joined 2 years ago
Thanks for the suggestion, I tried it and the diff view is very good. The setup was not really easy for my local models, but after i set it up, it was really fast. The biggest problem with the tool is that the open source models are not that good, i tried if it could fix a bug in my code and it was only able to make it worse. On a more positive note, you at least do not need to copy all text over to another window and it is great for generating boilerplate code nearly flawlessly every time.
Question: What is the best self hosted coding assistant?
The (only) project i found, that does what i want:
It works ok for the most part. The problem i have with it is that inline completion is more annoying then helpful, because the AI only sees the last few lines that you wrote and therefore does not know the larger context of the project.
I also found this project, it looks promising. Has anyone tested it? Can you separate the server from the client?
Are there other projects that integrate well into an IDE?
You missed one C✝
Ham-ster
It is https://github.com/searx/searx but you should use searxng instead: https://github.com/searxng/searxng
Don't forget everything is better with Rust.
How do you rank the results from different search engines?
the emotion is very human
So this would be the same but a bit more clear.
Solve 8+9 by creating blocks that sum up to 10. Then add the rest on top.
On Huggingface is a space where you can select the model and your graphics card and see if you can run it, or how many cards you need to run it. https://huggingface.co/spaces/Vokturz/can-it-run-llm
You should be able to do inference on all 7b or smaller models with quantization.