Ollama vs lm studio reddit. Switched to LM Studio for the ease and convenience.

Ollama vs lm studio reddit Open WebUI + Ollama Backend: Initially, I set up Open WebUI (via Pinokio) with Ollama as the backend (installed via winget). Plus, Ollama's uncensored models left something to be desired. Switched to LM Studio for the ease and convenience. /r/pathoftitans is the official Path of Titans reddit community. . q4_0), LM Studio turns out to. It provides a broader range of functionalities such as discovering, downloading, and executing local LLMs, featuring built-in chat interfaces and compatibility with OpenAI-like local servers. Easy to download and try models and easy to set up the server. 4. I found out about interference/loaders, but it seems LM Studio only supports gguf. Llama is likely running it 100% on cpu, and that may even be faster because llama is very good for cpu. But alas, I encountered some RAG-related and backup issues. The system acts as a complete AI workspace. Path of Titans is an MMO dinosaur video game being developed for home computers and mobile devices. LM Studio. This is the place for discussion and news about the game, and a way to interact with developers and other players. Use its browser to find and download a popular model (e. The memory usage and CPU usage are not easy to control with WSL2, so I excluded the tests of WSL2. Access or Make Models: You can access popular LLMs from OpenAI, Mistral, Groq, and more. Use Existing Models: Llamafile supports using existing model tools like Ollama and LM Studio. LM Studio: Then I switched gears to LM Studio, which boasts an impressive array of uncensored LM Studio. Through its interface, users find, download, and run models from Hugging Face while keeping all data and processing local. I was using oogabooga to play with all the plugins and stuff but it was a amount of maintenance and it's API had an issue with context window size when I try to use it with MemGPT or AutoGen. Otherwise, you are slowing down because of VRAM constraints. Which i5? How many cores? Set the amount of cores in LM studio -1. I'm currently using LM Studio, and I want to run Mixtral Dolphin locally. This information is not enough, i5 means nothing. We would like to show you a description here but the site won’t allow us. Offload 0 layers in LM studio and try again. Inference is quite slow (on a 4090), and there are persistent bugs such as models being permanently stuck on processing on first inference, which I found annoying. , a Llama 3 GGUF). I also read Eric's suggestion about exllamav2, but I'm hoping for something user-friendly while still offering good performance and flexibility, similar to how ComfyUI feels compared to A1111. g. Jan 21, 2024 · Ollama can be currently running on macOS, Linux, and WSL2 on Windows. ggmlv3. be much faster, produce better output and Mar 29, 2025 · Since both Ollama and LM Studio are free, the most effective way to decide is through direct experience: Experiment with LM Studio: Download the application. LM Studio gives a lot more freedom in managing models and modelpaths and has much more options for the various inference parameters. LM Studio is a desktop application that lets you run AI language models directly on your computer. Jul 20, 2023 · I am currently experimenting with LocalAI and LM Studio on an Macbook Air with M2 and 24GB RAM - both controlled using FlowiseAI. May 31, 2025 · Visit Ollama →. Aug 27, 2024 · Executable File: Unlike other LLM tools like LM Studio and Jan, Llamafile requires only one executable file to run LLMs. Generally considered more UI-friendly than Ollama, LM Studio also offers a greater variety of model options sourced from places like Hugging Face. It also supports creating models from scratch. Surprisingly, whenever I use LM Studio with the same settings (particularly, the same model, namely llama-2-13b. wrgp qfq ulxent xmqxtqt nact xcgdk whak efuua bqcmtooz qozea