Windows 10/11
x64 desktop app, no account needed
Official TecnoBit Studio website
Local LLM on Windows, Reviewed Step by Step
TecnoBit Studio is a Windows 10/11 agent that starts your model server, edits the settings file and runs your tests. Every change appears as a diff. Version 2.9.22.
Create local-llm.json for the model file in C:/models, bind it to 127.0.0.1 and start my runner.
- list_dir
C:/models3 files - read_file
runner-notes.txtread - write_file
local-llm.json+14 - Shell
your runner commandstarted - grep
listening logs/runner.log1 match - Shell
your test commandexit 0
Waiting for your OK before the next stepRejectAccept
2.9.22
released on 28 Oct 2026
About 34 MB
portable single .exe is about 25 MB
13
languages in the app interface
3 modes
Auto-run, Ask first and Plan only
None
chats and API keys stay on your PC
Local LLM: what it is and what you need
A local LLM is a language model whose weights file you download once and run on your own computer, so prompts and answers stay on that machine. Memory is the limit. The whole file plus room for the context must fit in RAM, or in VRAM when you use the GPU, and a more heavily quantized file, such as a 4-bit one, needs less.
Run LLM locally from one settings file
You downloaded a GGUF file and need a server for it. The file must fit. Describe that task, and list_dir shows what sits in your models folder while read_file reads the notes of your runner. Then write_file saves local-llm.json with the model path, the context length, host 127.0.0.1 and a port, and Shell starts your runner command, so the card shows what the command printed. In Ask first mode the app pauses before every step that changes something, so you read the diff and the command before you press Accept.
Tool trace
list_dir C:/models → 3 files
read_file runner-notes.txt → read
write_file local-llm.json → +14
Shell your runner command → startedKeep the model server on 127.0.0.1
A server bound to every network interface can be reached from your whole network. Check the host. grep searches local-llm.json and the runner log for the host value and for the address in the startup line, and read_file opens the settings file so you see the exact line. If the host is wrong, edit_file changes it to 127.0.0.1 and shows a diff, and Shell restarts your runner command so you can confirm the new log line. Plan only mode lists these steps first without changing anything, which suits a first look at an unfamiliar setup.
Tool trace
grep host local-llm.json → 1 match
read_file local-llm.json → read
edit_file local-llm.json → +1 -1
Shell your runner command → startedCall an offline AI model from Python
A small script checks whether the server answers. One test prompt is enough. write_file creates ask_model.py, which sends that prompt to the chat-style HTTP API on 127.0.0.1 and prints the reply, and Shell runs it with Python and shows the exit code. Because the weights file sits on your disk, the call needs no internet connection after the download. If you want a local LLM for coding help, the same script can send a short code question instead. If the reply looks odd, read_file opens the log. Review the diff before you accept the script, then test it yourself.
Measure tokens per second yourself
Speed depends on your hardware. Measure it instead of trusting a figure from someone else's PC. Tokens per second tells you how fast the model writes, and time to the first token tells you how long you wait before the first word appears. Shell runs your benchmark command with a short prompt, grep finds the timing lines in the output, and write_file saves them to bench-notes.md. Repeat the same prompt 3 times after each settings change and compare the notes yourself. Ask first lets you stop before every run.
How it differs from a typical chat assistant
Chats usually describe steps. TecnoBit Studio 2.9.22 carries them out with real tools and shows the real result of each one on a card, so you can check what happened.
| Typical chat assistant | TecnoBit Studio | |
|---|---|---|
| Commands | Usually describes commands that you copy and run yourself | Runs them with Shell and reports the real exit code |
| Settings file | Shows a snippet that you paste into the file by hand | Changes the file with edit_file and shows the diff on a card |
| Logs | Works from the text that you paste into the chat window | Reads logs and benchmark output with read_file and grep |
| Control | A plain chat window leaves changes and checks to you | Offers Auto-run, Ask first and Plan only modes |
How it works
- Install TecnoBit Studio on Windows 10 or 11 after you compare the SHA-256 checksum with the published manifest.
- Connect a model: a cloud AI provider, a model running locally on your PC, or the built-in model, then press Test.
- Choose the folder that holds your settings file and scripts, then pick Auto-run, Ask first or Plan only.
- Describe the task in plain words, read each tool card as it appears and review every diff before you accept it.
Who it is for
Beginners who want to run local LLMs on their own PC get the steps in order. Check memory first. The model file plus room for the context must fit in RAM or VRAM, and the agent reads the folder contents with list_dir so that you can compare them with your memory.
Python developers building tools with local LLMs can let the agent write and run small test scripts against their own server. Test first. The agent writes the script with write_file, runs it with Shell and reads the printed reply, and you review each diff, because the model can still be wrong.
Anyone who wants a private AI assistant on their own PC, meaning one whose prompts are processed on that machine, can use TecnoBit Studio with a model running locally. Read every licence. Keep the host on 127.0.0.1 so that only your own PC can connect, and review every diff before you accept it, because the model can still be wrong.
Common questions
What is a local LLM?
It is a large language model whose weights file you download once and run on your own computer. Processing happens there. After the download no internet connection is needed, and self-hosted means that you run the model server yourself, on your own PC or on a server you control.
Is tecnocodebit.com the official TecnoBit Studio website?
Yes, tecnocodebit.com is the official TecnoBit Studio website, and the download button leads to the original build of the installer. Check it. Compare its SHA-256 checksum with the published manifest before you run it, and send questions with the Send feedback button inside the app.
Can I use any open source LLM for commercial work?
No. Many popular models are open-weight, which means the weights can be downloaded, but each one has its own licence that may limit commercial use or redistribution. Read the licence of every model before you use it, and never use leaked or pirated weights.
How much memory does a model need?
The model file plus extra room for the context must fit in RAM, or in GPU video memory (VRAM) if you run on the GPU. A smaller or more heavily quantized model, such as a 4-bit file instead of a 16-bit one, fits smaller machines. Quantization costs some quality.
Does a model on my PC need an internet connection?
No. After you download the weights file, the model runs without a connection, and with a model running locally nothing leaves the machine. Web search, phone control of chats and update checks are optional features that do use the network.
How do I keep a model server reachable only from my own PC?
The host setting decides who can connect. Set it to 127.0.0.1. Binding to all network interfaces exposes the server to your whole network, and a port forward could expose it to the internet, so never publish a model server without authentication.
Are the answers of a model always right?
No. A model can still be wrong, and TecnoBit Studio cannot promise that code, settings or summaries are correct. Read every diff, run your own tests and compare the output with what you expect before you rely on it.
Try it on your own PC
Download version 2.9.22 for Windows 10/11 and connect a model of your choice. No account is needed. The setup file is about 34 MB, and a portable single .exe file of about 25 MB is also available if you prefer it.
Download TecnoBit Studio for Windows ↗Useful pages
Every page is available in 20 languages.
What the agent can do on your PC ↗ Connect a cloud, local or built-in model ↗ Step-by-step settings and test guide ↗ Download, checksum and install steps ↗ Answers about memory, licences and privacy ↗ What this site and the app record ↗
