TEST BENCH Core i5-8250U / 8 GB RAM / no GPU / 256 GB SSD Field reports, not press releases. Updated Nov 2026

The archive

Field Reports

Every test, with the verdict attached. Filter by what you want to do, or search for the model, tool or problem you have in mind.

Category
Verdict

Local AI Works with rules

Can You Run an LLM on 8 GB of RAM? What Actually Works

Yes, a language model runs on 8 GB of RAM with no GPU — but only if you respect the memory math. Here is what fits, what crawls, and the exact setup I use.

11 min read
Local AI Runs well

The Best Small LLMs for 8 GB RAM, Tested on a CPU-Only Laptop

Qwen3, Llama 3.2, Gemma 3, Phi-4-mini and SmolLM2 compared at 8 GB: real speeds, real memory use, and which one to pick for chat, writing or code.

10 min read
Local AI Explained

GGUF Quantization Explained: Q4, Q5, Q8 and What Fits in 8 GB

What quantization actually does to a language model, the difference between Q4_K_M, Q5_K_M and Q8_0, and how to pick the right one for 8 GB of RAM.

9 min read
Local AI Pick by task

Ollama vs llama.cpp on an 8 GB Laptop: Which Is Actually Faster?

I ran the same Qwen3 and Llama models through Ollama and llama.cpp on a CPU-only laptop. The speed gap is smaller than the convenience gap — here is when to use each.

9 min read
Coding Chat only

A Local Coding Assistant on an 8 GB Laptop: What's Usable, What's Not

I wired up Continue and Ollama as a private coding assistant on an 8 GB CPU-only laptop. Inline autocomplete failed; code explanation and review worked. Here is the setup.

10 min read
Cloud & free tiers Use for heavy jobs

Free Cloud GPU in 2026: Colab vs Kaggle vs Hugging Face — Real Limits

What the free tiers actually give you: GPU hours, RAM, session limits, storage and the catches. Plus the workflow I use to offload image generation and training from an 8 GB laptop.

11 min read
Setup & tools Runs well

Python on an 8 GB Laptop: A Setup That Stays Fast

Skip Anaconda, skip the giant IDE bundle. A lean Python 3.12 setup for an 8 GB Windows laptop, with virtual environments, VS Code settings and the first script.

10 min read
Setup & tools Runs well

VS Code on 8 GB RAM: 6 Extensions, a 4-Second Startup

I cut VS Code from 18 extensions to 6 and measured the difference: startup went from 9.2 s to 4.0 s and memory dropped by 180 MB. Here is what to remove and what to keep.

8 min read
Local AI Works, with patience

Whisper on a CPU: Transcribing 10 Minutes of Audio on 8 GB RAM

A practical whisper.cpp setup for a GPU-less laptop: model choice, 16 kHz audio conversion, realistic processing times and accuracy notes from real recordings.

9 min read
Hardware & upgrades Fixable

Why Your 8 GB Laptop Freezes (and 9 Fixes That Actually Work)

The freezes are usually memory pressure, not a broken CPU. Nine fixes I measured on an 8 GB Windows 11 laptop, ranked by effect, with the ones to avoid.

10 min read
Hardware & upgrades Worth it

8 GB vs 16 GB for Local AI: Is the Upgrade Worth It?

A $40 RAM upgrade changed more than any software tweak on this laptop. Here is what 16 GB actually unlocks for local AI, what it does not, and how to check if you can upgrade.

9 min read
Hardware & upgrades Depends on the job

The Cheapest Way to Run Local AI: Your Laptop vs a Used Mini PC vs the Cloud

A cost-per-capability comparison of four options: keep the 8 GB laptop, add RAM, buy a used mini PC, or pay for cloud. With real prices and a recommendation for each situation.

10 min read

Not sure where to begin?

Read the 8 GB survival guide first.

It explains the memory math, the quantization trade-offs and the honest limits — the context every other report assumes.

Can you run an LLM on 8 GB? →