01What it can do
- Agentic coding and high-level reasoning
- 256k context
- OpenMDW 1.1 license
- Efficient MoE (8B active out of 118B)
- —~68 GB VRAM in Q4: requires a powerful setup
- —Coding-specialized, less general-purpose
04Install
Install Ollama for your OS. Check the model and its quantization before downloading. Start with 4096 tokens of context, then check placement with ollama ps. A command below is not proof that a test was run on your machine.
02Required memory
Approximate GPU VRAM required to run this model, including 4k tokens of context overhead. For a longer context, add ~1 GB per 8k-token increment.
What hardware do you need for Laguna S 2.1?
To run Laguna S 2.1 locally with Q4 quantization, you need about 68 GB of VRAM. An option to compare: BOSGAME M5 128GB / 2TB (Ryzen AI Max+ 395) — leave some headroom for the system and context; check engine compatibility with the GPU.
Why this choice? Our complete guide on BOSGAME M5 128GB / 2TB (Ryzen AI Max+ 395) →
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03Expected speed
Tokens generated per second in Q4_K_M, 4k context. Beyond 20 t/s, reading is comfortable. Below 10 t/s, that's just for testing.