---

base_model: poolside/Laguna-S-2.1

library_name: gguf

pipeline_tag: text-generation

tags:

• gguf
• quantized
• laguna
• mixture-of-experts
• q2_k
• q3_k
• ds4

---

Laguna S 2.1 GGUF

This repository contains a reduced-memory Laguna S 2.1 quantization for

DwarfStar.

Mixed Q2_K/Q3_K variant

laguna-s-2.1-RoutedQ2_K-Last27Q3_K.gguf keeps every non-routed tensor

byte-identical to Poolside's laguna-s-2.1-Q4_K_M.gguf at revision

706fa69799926b6afde1af9e24ca2a4923f110a1. Only routed expert tensors were

requantized using the source importance matrix:

• routed layers 1 through 20: Q2_K gate, up, and down
• routed layers 21 through 47: Q3_K gate, up, and down
• all other tensors: unchanged from the official Q4_K_M GGUF

The file is 48,260,803,968 bytes (44.946 GiB), intended for full-residency

inference on 64 GiB systems. Runtime memory also depends on context size and

KV-cache allocation.

SHA-256:

61fc66596597985cb9408a8530de6322d9e0d5b1d2ad4ed6503938018e0ce903

DwarfStar

Q3_K routed Laguna inference is supported starting with DwarfStar commit

938227a2.

./download_model.sh laguna-q2-q3
./ds4 -m gguf/laguna-s-2.1-RoutedQ2_K-Last27Q3_K.gguf -p "Hello"

On an Apple M5 Max, the tested model reached approximately 514 tokens/second

for a 4096-token prefill and 63 tokens/second steady-state generation.

Against 100 official continuation vectors, the mixed model obtained average

NLL 0.2583, 87/100 first-token matches, and average matching-prefix length

9.50 tokens. The corresponding full Q4_K_M measurements were 0.2352, 92/100,

and 10.86.