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- How does Ollama handle not having enough Vram? : r ollama - Reddit
How does Ollama handle not having enough Vram? I have been running phi3:3 8b on my GTX 1650 4GB and it's been great I was just wondering if I were to use a more complex model, let's say Llama3:7b, how will Ollama handle having only 4GB of VRAM available? Will it revert back to CPU usage and use my system memory (RAM)
- Ollama is making entry into the LLM world so simple that even school . . .
I took time to write this post to thank ollama ai for making entry into the world of LLMs this simple for non techies like me Edit: A lot of kind users have pointed out that it is unsafe to execute the bash file to install Ollama So, I recommend using the manual method to install it on your Linux machine
- ollama - Reddit
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?
- Ollama GPU Support : r ollama - Reddit
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…
- Ollamate: Open source Ollama desktop client for everyday use - Reddit
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
- How to add web search to ollama model : r ollama - Reddit
How to add web search to ollama model Hello guys, does anyone know how to add an internet search option to ollama? I was thinking of using LangChain with a search tool like DuckDuckGo, what do you think?
- Need help installing ollama : ( : r ollama - Reddit
Properly Stop the Ollama Server: To properly stop the Ollama server, use Ctrl+C while the ollama serve process is in the foreground This sends a termination signal to the process and stops the server: bashCopy codeCtrl+C Alternatively, if Ctrl+C doesn't work, you can manually find and terminate the Ollama server process using the following
- Training a model with my own data : r LocalLLaMA - Reddit
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
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