Configuring Context Window settings in LM Studio for better AI memory
Press play on the video. It'll jump straight to the section that answers the
title above — no need to watch the full video.
LM Studio
OpenAI Tokenizer
AI Tools
Optimization
A guide to adjusting context window sizes to prevent the AI from 'forgetting' the conversation and understanding token limits in local models.
Understanding How AI Processes Text
AI doesn't count words or characters in the traditional way. It uses 'Tokens'. For instance, a sentence might have 26 words but be counted as 38 tokens by an LLM.
Why AI Becomes 'Forgetful'
When the token usage indicator exceeds 100%, the AI begins to discard the earliest information in the conversation to make room for new tokens. This causes the AI to 'forget' the original topic.
The Impact of Increasing the Context Window
Increasing the Context Window (e.g., from 2048 to 4096) allows the AI to remember longer conversations, but it will consume more of your computer's memory (VRAM/RAM).
More from Local AI & Open Source Deployment
View All
None
Docker
Automating web browser tasks with Local LLMs (Ollama) & DeepSeek
Browser Use
Ollama
Setting up GPT-OSS models using LM Studio CLI
LM Studio
OpenAI
Enabling Flash Attention and Quantization in LM Studio for a performance boost
LM Studio
Guide to running Llama 3.1 locally using LM Studio
LM Studio
Llama 3.1
Build Your Own Socratic AI Tutor Using Open WebUI and Custom Prompts
Open WebUI
Claude