Trying something new, going to pin this thread as a place for beginners to ask what may or may not be stupid questions, to encourage both the asking and answering.
Depending on activity level I’ll either make a new one once in awhile or I’ll just leave this one up forever to be a place to learn and ask.
When asking a question, try to make it clear what your current knowledge level is and where you may have gaps, should help people provide more useful concise answers!
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What can I run on a 1080ti and how does it compare to what’s available in general?
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.
Wow thank you I’ll look into it!
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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?
I’ve had decent results with continue, it’s similar to copilot and actually works decently with local models lately:
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.
Yeah definitely need to still understand the open source limits, they’re getting pretty dam good at generating code but their comprehension isn’t quite there, I think the ideal is eventually having 2 models, one that determines the problem and what the solution would be, and another that generates the code, so that things like “fix this bug” or more vague questions like “how do I start writing this app” would be more successful
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Where is the sweet spot for running CPU bound models? I’ve just started playing with llama.cpp but the big models do make the cores work pretty hard. Should I look at using quantisation or more fine tuned models for the tasks I care about (developer assistance mainly).
Late to the party, I never got FOSAI working until I found LMStudio, but I have 2 questions:
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Is there any way I could utilize my GPU, a Radeon RX6800M (12GB VRAM)? I got Mistral-7B doing 5 tokens/s but it’s all running on the CPU.
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Is there any model specifically for programming questions? This could be of immense help to my projects without having to ask ChatGPT.
I got a question about LMStudio! Is it FOSS, or is it just partly open?
On their website I see that they do have a github link, but I can’t identify the “main” project.
Looks like LMStudio is FOSS although I’m not 100% sure. What if does is allow you to run FOSAI models locally.
Yeah, that I understand. I was just curious, since currently I’m using ollama, which is fully FOSS, and some web UI to work with the LLMs in chat. but having it all in one place would be really nice.
I’ve heard some good things about LMStudio, but if it’s not FOSS, it’s not getting on my machine.
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