
How Ollama Simplified Generative Ai Implementation And Testing I've just installed ollama in my system and chatted with it a little. unfortunately, the response time is very slow even for lightweight models like…. Recently i installed ollama and started to test its chatting skills. unfortunately, so far, the results were very strange. basically, i'm getting too….

How Ollama Simplified Generative Ai Implementation And Testing How to make ollama faster with an integrated gpu? i decided to try out ollama after watching a video. the ability to run llms locally and which could give output faster amused me. but after setting it up in my debian, i was pretty disappointed. i downloaded the codellama model to test. i asked it to write a cpp function to find prime. Stop ollama from running in gpu i need to run ollama and whisper simultaneously. as i have only 4gb of vram, i am thinking of running whisper in gpu and ollama in cpu. how do i force ollama to stop using gpu and only use cpu. alternatively, is there any way to force ollama to not use vram?. I'm using ollama to run my models. i want to use the mistral model, but create a lora to act as an assistant that primarily references data i've supplied during training. this data will include things like test procedures, diagnostics help, and general process flows for what to do in different scenarios. I recently got ollama up and running, only thing is i want to change where my models are located as i have 2 ssds and they're currently stored on the smaller one running the os (currently ubuntu 22.04 if that helps at all). naturally i'd like to move them to my bigger storage ssd. i've tried a symlink but didn't work. if anyone has any suggestions they would be greatly appreciated.

Use These Testing Strategies With Generative Ai I'm using ollama to run my models. i want to use the mistral model, but create a lora to act as an assistant that primarily references data i've supplied during training. this data will include things like test procedures, diagnostics help, and general process flows for what to do in different scenarios. I recently got ollama up and running, only thing is i want to change where my models are located as i have 2 ssds and they're currently stored on the smaller one running the os (currently ubuntu 22.04 if that helps at all). naturally i'd like to move them to my bigger storage ssd. i've tried a symlink but didn't work. if anyone has any suggestions they would be greatly appreciated. Here's what's new in ollama webui: 🔍 completely local rag suppor t dive into rich, contextualized responses with our newly integrated retriever augmented generation (rag) feature, all processed locally for enhanced privacy and speed. Ok so ollama doesn't have a stop or exit command. we have to manually kill the process. and this is not very useful especially because the server respawns immediately. so there should be a stop command as well. edit: yes i know and use these commands. but these are all system commands which vary from os to os. i am talking about a single command. Yes, i was able to run it on a rpi. ollama works great. mistral, and some of the smaller models work. llava takes a bit of time, but works. for text to speech, you’ll have to run an api from eleveabs for example. i haven’t found a fast text to speech, speech to text that’s fully open source yet. if you find one, please keep us in the loop. Hey everyone, i was very excited when i first discovered ollama. after using it for a while, i realized that the command line interface wasn't enough for everyday use. i tried open webui, but i wasn't a big fan of the complicated installation process and the ui. despite many attempts by others, i didn't find any solution that was truly simple.