Laguna S 2.1
Collection
Our most capable model to date, designed for long-horizon work. • 13 items • Updated • 53
Use on OpenRouter · Use on Vercel AI Gateway · Release blog post
poolside/Laguna-S-2.1-DFlash-NVFP4
DFlash speculator for the NVFP4 target poolside/Laguna-S-2.1-NVFP4. The speculator is a 6-layer Laguna-style draft model (BF16); pair it with the NVFP4 base for lower-latency serving via speculative decoding.
Trained: e0630_rhiemann_baseline SFT, DFlash Stage-2, 15k steps. Recommended
serving setting: num_speculative_tokens=7.
DFlash upstream support is in progress (vLLM #46853, SGLang #29446, TRT-LLM #15666). Use
poolside/Laguna-S-2.1-NVFP4 as the target model.
Benchmarks
Measured with TP=2, temperature=0, and num_speculative_tokens=15.
Throughput speedup
| Concurrency | GSM8K | MATH-500 | HumanEval | MBPP | MT-Bench |
|---|---|---|---|---|---|
| 1 | 3.324x | 2.893x | 3.692x | 2.426x | 2.338x |
| 4 | 2.498x | 2.174x | 2.742x | 1.848x | 1.831x |
| 8 | 2.279x | 1.948x | 2.634x | 1.719x | 1.772x |
| 16 | 2.302x | 1.965x | 2.626x | 1.731x | 1.672x |
Acceptance length
| Concurrency | GSM8K | MATH-500 | HumanEval | MBPP | MT-Bench |
|---|---|---|---|---|---|
| 1 | 5.775 | 4.942 | 6.438 | 4.171 | 4.017 |
| 4 | 5.804 | 4.935 | 6.298 | 4.161 | 4.091 |
| 8 | 5.719 | 4.885 | 6.537 | 4.193 | 4.373 |
| 16 | 5.758 | 4.896 | 6.412 | 4.123 | 3.981 |
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