CG TECH

Open-Source · Technologies

LM Studio

The easy way to see what local models can do.

LM Studio is a free desktop app for discovering, downloading and chatting with open models on your own machine. No terminal, no setup ceremony: pick a model, press download, start asking. It is the evaluation on-ramp for local AI, and we use it to prove what open models can do before anyone buys hardware.

MODEL EVALUATION · EXAMPLE DESK

TRIAL

MODEL CLASS

VERDICT

STATUS

Drafting-Test

General assistant

Fit for use

DONE

Coding-Test

Code model

Fit for use

DONE

Summary-Test

Small fast model

Fit for use

DONE

Reasoning-Test

Larger model

Marginal

REVIEW

vibes-only-eval

No test set

Unknown

RISK

Sample desk

done · review · risk

In plain terms

Do not buy the server before the model earns it.

LM Studio lets you test local AI on a laptop before committing to infrastructure. Here is what changes.

Without it

  • Local AI debated in theory, decided on hype
  • Hardware bought before any model proved itself
  • Evaluation stuck behind terminal setup nobody has time for
  • Sensitive test data sent to cloud tools just to try things

With it

  • Models downloaded and tested over a lunch break
  • Evidence from your real tasks before any spend
  • A no code path that anyone on the team can drive
  • Trials that stay entirely on the machine

What CG TECH can do with LM Studio

The work, broken into the parts that matter.

How an engagement runs

From curiosity to evidence, step by step.

01

Frame

We pick the tasks and the quality bar that matter to you.

02

Trial

Candidate models tested on your real work, on your machine.

03

Verdict

A plain read on what works, what does not and what it needs.

04

Path

A sizing and deployment plan for what earned its place.

Questions we hear a lot

Common questions about LM Studio

What is LM Studio?

LM Studio is a free desktop app for finding, downloading and chatting with open models on your own machine. There is no terminal and no setup ceremony: pick a model, download it and start asking.

What do we need to run it?

A reasonably modern computer. Smaller models run on ordinary laptops, and more memory or a GPU lets you run larger ones. The point is testing on hardware you already own.

Is it really free?

Yes, including for use at work. The costs are your time and, later, the infrastructure for anything you promote to production.

Does anything leave our machine?

Models are downloaded once, then chat and testing run locally. That makes it safe to trial with realistic material, applying the same care you would to any sensitive document handling.

LM Studio or Ollama?

Both, in order. LM Studio is the friendly desktop on-ramp for evaluating; Ollama is the server workhorse for production. Prove it in one, deploy it on the other.

What is it good for, and what is it not?

It is the quickest way to see what an open model can actually do before anyone buys hardware. It is not a server. For shared use and for applications, that is where Ollama comes in.

How large a model can our laptops run?

It comes down to memory more than anything else. Smaller models run comfortably on an ordinary work laptop, larger ones need a well specified machine. We test on your actual hardware rather than guessing.

Can we use it to test before committing to a build?

That is exactly how we use it. Run your real questions through a few open models on a laptop first. If the answers are good enough there, the case for a proper deployment writes itself.

Ready when you are

Wondering if local AI is good enough? Let us talk.

A discovery session maps your tasks, your options and your quick wins. You keep the plan either way.

What to expect

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