Скачать или смотреть Share LM STUDIO between devs on one sub net --Free Github Copilot on pycharm- Continue Plugin setup

Here’s a concise video description you can use to summarize the setup process:

Title: Setting Up Continue Plugin with LM Studio on a Local Network
Description:
Setting up the Continue plugin to connect with a non-local LLM hosted via LM Studio can be tricky — especially when streaming and autocomplete are involved. In this walkthrough, we assume LM Studio is running on a local network machine bound to port 80 or 1234.
We cover:
Configuring Continue to connect to LM Studio using a custom IP and port.
Defining model roles (autocomplete, chat, edit) and tuning autocompleteOptions for compatibility.
Troubleshooting streaming issues with curl to inspect token-by-token responses.
Fixing autocomplete by switching from multiline: always to multiline: auto, and adding stop sequences to improve response parsing.
Validating model behavior and isolating compatibility issues with Qwen 3 Coder 30B.
For deeper insights and working examples, check out:
9.LLM Local Server + VS Code AI Setup Cline + Continue — shows how to wire up Continue with local LLMs and IDEs.
Run Open Models like DeepSeek locally with LM Studio — demonstrates LM Studio’s setup and model loading.
Local AI Coding in VS Code: Installing Llama 3 with continue ... — covers plugin integration and model selection.
Local AI Agent with ANY Open-Source LLM using LMStudio — walks through LM Studio’s interface and model deployment.
Replace Github Copilot with a Local LLM — compares local LLMs with Copilot and shows real coding use cases.
LM Studio: Run Local LLMs in 7 Minutes — a fast-start guide to installing and running LM Studio.