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// poolside Laguna · Text LLM

Laguna-M.1: VRAM & local deployment

225B total · 23B active (MoE) parameters. About 153 GB at 4-bit and 498 GB at BF16 with one 8K-token request.

released 2026-06-15licence: Commercial OKmemory figures are estimates

01Specs

Publisherpoolside · poolside
Family / seriespoolside Laguna · Laguna-M.1
TypeText LLM (text-generation)
Parameters225B total · 23B active (MoE) Source: official model card“225B total parameters and 23B activated parameters per token”
Context length256K tokens (262,144)max_position_embeddings in config.json
Architecture70 layers · GQA · MoE
Released weightsBF16 · 452 GBdownload
LicenceApache-2.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2026-06-15 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)450 GB 498 GB505 GB533 GB 8 × H100 (640GB)—
FP8 / INT8 / Q8_0239 GB 266 GB273 GB301 GB 4 × RTX PRO 6000 (384GB)Mac 512GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)136 GB 153 GB160 GB188 GB 4 × RTX PRO 6000 (384GB)Mac 256GB

KV cache per request: 8K 2.4 GB · 32K 9.4 GB · 128K 37.6 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

4 official repo(s) from poolside.

05Other poolside Laguna models

All 4 →
ModelParams4-bit totalReleased
Laguna-S-2.1118B / 8B79.7 GB2026-07-13
Laguna-XS-2.133B / 3B22.9 GB2026-06-20
Laguna-XS.233B / 3B22.9 GB2026-04-23

06Sources

Data checked 2026-07-14. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)