LOADING DATASHEET
LOADING DATASHEET
by Poolside
RANKED #140 OF 316 ASSISTANTS · OVERALL #185 OF 493 RANKED · VIBE SCORE 4.7 · 2,227 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
A versatile text model for everyday writing and problem solving on your own machine.
1 mentions
7 mentions
26 weeks · 2,228 voices in this window
TOO QUIET
Not enough weekly voices to call a trend yet.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Laguna XS.2 once and it's yours. No subscription, no rate limits, works offline.
33.4B parameters (3B active MoE), a Q4 file is about 19 GB
NVIDIA GeForce RTX 3090 24GB
24 GB VRAM
~$700 USEDINT4 / Q4_K_M, ~35 tok/s, 16k context
Apple Mac Studio M4 Max (36GB Unified Memory)
36 GB UNIFIED RAM
~$1999 NEWQ4_K_M or Q5_K_M, ~42 tok/s, 32k context via MLX/Ollama
Dual NVIDIA GeForce RTX 4090 24GB (48GB total)
48 GB VRAM
~$3400 NEWBF16 / FP8, ~65 tok/s, 131k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Laguna XS.2 takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3090 24GB | SWEET SPOTApple Mac Studio M4 Max (36GB Unified Memory) | FULL POWERDual NVIDIA GeForce RTX 4090 24GB (48GB total) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~14 S★★★★★ | ~12 S★★★★★ | ~8 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~43 S★★★★★ | ~36 S★★★★★ | ~23 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3.8 MIN★★★★★ | ~3.2 MIN★★★★★ | ~2.1 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~12 MIN★★★★★ | ~9.9 MIN★★★★★ | ~6.4 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~7.1 MIN★★★★★ | ~6 MIN★★★★★ | ~3.8 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Community feedback on Laguna XS.2 is mixed regarding its price. While some users find it expensive, many feel the performance makes it worth the money.
172 POSTS · 2055 COMMENTS · X · REDDIT · GITHUB · BLOG
5 thumbs up · 7 thumbs down
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Laguna XS.2.
Local AI News You Missed - April 2026
Comment in r/singularity
Llama.cpp just added support for Laguna XS.2 & M.1
Comment in r/singularity
Add support for Laguna XS.2 & M.1 by joerowell · Pull Request #25165 · ggml-org/llama.cpp
This month was packed, with all open frontier labs, including DeepSeek, releasing new models. The latter prompted an evaluation by the Center for AI Standards and Innovation (CAISI) , which has evaluated open models and their risks in the past. Their result…
After a short family break, I am excited to be back and catching up on a busy few weeks of open-weight LLM releases. The thing that stood out to me is how much newer architectures are focused on long-context efficiency. As reasoning models and agent workflows…
Comment in r/singularity
Open problems move faster in the open. Last week @yukonresearch ran on @poolsideai's Laguna XS 2
I fine tuned Qwen3 0.6b for better Spanish understanding. Tenorio 0.6b
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Poolside AI launches Laguna XS.2 and Laguna M.1