Laguna-XS.2
Laguna XS.2 is a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token designed for agentic coding and long-horizon work on a local machine. It uses Sliding Window Attention with per-head gating in 30 out of 40 layers for fast inference and low KV cache requirements.
Params
33.4 B
Context
262,144
Downloads 30d
593 K
Likes
320
Download history
daily snapshots · 22 days593 K188 K
Oct 3Oct 10Oct 17Oct 24
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 66.9 GB | 79.1 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 66.9 GB | 234.6 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$ curl -s https://aimodelscomparison.com/api/v1/models/laguna-xs-2
{
"hf_id": "poolside/Laguna-XS.2",
"params_b": 33.44,
"context_length": 262144,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 592770,
"vram_estimates": [
{ "quant": "bf16", "gb": 79.1 }
],
"updated_at": "2026-10-03T01:00:18Z"
}
Specifications
- Architecture
- LagunaForCausalLM
- Parameters
- 33.4 B
- Tensor type
- BF16
- Context length
- 262,144
- Vocabulary
- 100,352
- Layers / heads
- 40 / 48
- Licence
- apache-2.0
- First seen on the Hub
- 2026-04-23
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-03
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