Laguna-XS-2.1-GGUF
Laguna XS 2.1 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. This model is an upgraded version of our Laguna XS.2 model with a +5.4% jump on SWE-bench Multilingual as well as stronger performance on terminal-style tasks.
Params
—
Context
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Downloads 30d
235 K
Likes
93
Download history
daily snapshots · 23 days238 K180 K
Aug 30Sep 6Sep 14Sep 21
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 |
|---|---|---|---|---|
| Laguna-XS-2.1-Q4_K_M.gguf | Q4_K_M | 20.3 GB | 22.8 GB | ⚠️ Tight — reduce context |
| Laguna-XS-2.1-BF16.gguf | GGUF | 66.9 GB | 74.1 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 run laguna-xs-2-1-gguf # pin the quantization explicitly $ ollama run laguna-xs-2-1-gguf-q4_k_m
$ huggingface-cli download poolside/Laguna-XS-2.1-GGUF-GGUF \
Laguna-XS-2.1-Q4_K_M.gguf --local-dir .
$ llama-cli -m Laguna-XS-2.1-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/laguna-xs-2-1-gguf
{
"hf_id": "poolside/Laguna-XS-2.1-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "openmdw-1.1", "commercial": "unknown" },
"downloads_30d": 235259,
"vram_estimates": [
{ "quant": "GGUF", "gb": 74.1 },
{ "quant": "Q4_K_M", "gb": 22.8 }
],
"updated_at": "2026-08-30T01:00:28Z"
}
Specifications
- Licence
- openmdw-1.1
- First seen on the Hub
- 2026-06-29
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-30
Compare with any text-generation model