Dolphin 2.9.2 Runs Uncensored Llama 3 8B on 6GB VRAM

Looking for a local model that answers without a filter? Dolphin 2.9.2 is an open-weight 8B model built for that, and it lands on hardware you may already own.

It runs on as little as 6GB of VRAM, so a laptop GPU like an RTX 3060 or 4060 is enough. No cloud, no per-token bill.

What Happened

Dolphin 2.9.2 is the latest in Eric Hartford's Dolphin line from Cognitive Computations, a project dedicated to freedom of AI exploration. This version is built on Llama 3 8B, and the team describes it as 100% uncensored — no moral filter between your prompt and the answer — with fast responses aimed at light local work rather than a data-center rig.

The hardware it asks for:

• VRAM: 6GB to 12GB. A laptop GPU such as the RTX 3060 or 4060 will do.
• System RAM: 16GB.
• Storage: roughly 5GB to 8GB, depending on whether you take the Q4 or Q8 GGUF build.
• Context window: 8k to 32k tokens.

Why It Matters

The memory bar is the story. An 8B model that fits in 6GB of VRAM opens local AI to ordinary gaming laptops, not just desktops with a big card. At the same time, the 8k to 32k token context window is enough to feed it long chats or documents without constantly starting over.

Version 2.9.2 comes from the Dolphin series, so it keeps the same unfiltered behavior and quick responses that line is known for. It sits at the light end of what runs on your own machine, which is the point: fast answers, no server in the middle.

If your machine has 16GB of RAM and a mid-range GPU, this is a low-cost way to see what an uncensored local model feels like.