Laguna-XS.2
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
Frequently asked
Quick answers to common questions
How much VRAM does Laguna-XS.2 need?
Laguna-XS.2 with 33.4B parameters needs approximately 19 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is Laguna-XS.2 better than other poolside models?
Laguna-XS.2 has 33.4B parameters with 262,144 context - a strong choice for general use.
What license is Laguna-XS.2 under?
Laguna-XS.2 is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs Laguna-XS.2 well?
With 33.4B parameters, Laguna-XS.2 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Laguna-XS.2?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~24 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can Laguna-XS.2's context window handle?
Laguna-XS.2 supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with Laguna-XS.2?
Laguna-XS.2 competes with other 17B–50B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec