Myric / text-generation Open weights updated 1 month ago

Laguna-S-2.1-APEX-GGUF

MoE-aware, mixed-precision APEX quantization of poolside/Laguna-S-2.1 — a 118B-total / ~8B-active open-weight agentic coding MoE (48 layers, 256 routed + 1 shared expert, top-10 routing, GQA with per-head softplus output gating, mixed sliding-window/global attention, 1M context).

Params
117.6 B
Context
1,048,576
Downloads 30d
185 K
Likes
25
Licence: openmdw-1.1 Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 18 days
190 K183 K
Oct 6Oct 12Oct 18Oct 23

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
laguna-s-2.1-DFlash-Q4_K.gguf Q4_K 0.7 GB 18.9 GB ✅ Runs comfortably
laguna-s-2.1-DFlash-Q8_0.gguf Q8_0 1.2 GB 19.4 GB ✅ Runs comfortably
Laguna-S-2.1-APEX-i-quality-v2.gguf GGUF 74.0 GB 99.5 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · ollama · Q4_K
$ ollama run laguna-s-2-1-apex-gguf

# pin the quantization explicitly
$ ollama run laguna-s-2-1-apex-gguf-q4_k
est. VRAM 18.9 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
117.6 B
Context length
1,048,576
Licence
openmdw-1.1
First seen on the Hub
2026-07-22
Base model
Laguna-S-2.1
Training datasets
undisclosed
Added to our catalog
2026-10-06

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any text-generation model