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| Base Model | poolside/Laguna-XS-2.1 |
| Draft Architecture | 5-layer Llama-style draft model (DFlashLagunaForCausalLM) |
| Hidden Size | 2048 |
| Attention Heads | 64 query / 8 key-value, head_dim 128 |
| Sliding Window | 512 |
| Gating | Per-head |
| Proposals | Up to 15 tokens per step |
| Chat Template | poolside/Laguna-XS-2.1 (use /chat/completions endpoint) |
| Format | Safetensors (BF16) |
| License | OpenMDW-1.1 |
[!NOTE] DFlash speculative-decoding support for Laguna XS 2.1 has not yet landed upstream. Integrations are in progress:
- vLLM — vllm-project/vllm#46853
- TRT-LLM — NVIDIA/TensorRT-LLM#15666
See the "Speculative decoding (DFlash)" notes on the Laguna XS 2.1 model card for current status.
--speculative-config block to the standard Laguna XS 2.1 serve command:1# Support in progress — see vllm-project/vllm#46853
2vllm serve poolside/Laguna-XS-2.1 \
3 --tool-call-parser poolside_v1 \
4 --reasoning-parser poolside_v1 \
5 --enable-auto-tool-choice \
6 --default-chat-template-kwargs '{"enable_thinking": true}' \
7 --speculative-config '{"model": "poolside/Laguna-XS-2.1-DFlash", "num_speculative_tokens": 15, "method": "dflash"}'1sglang serve \
2 --model-path poolside/Laguna-XS-2.1 \
3 --speculative-algorithm DFLASH \
4 --speculative-draft-model-path poolside/Laguna-XS-2.1-DFlashnum_speculative_tokens = 15), versus the same model without speculative decoding:| Dataset | Baseline (tok/s/seq) | DFlash (tok/s/seq) | Speedup | Acceptance length |
|---|---|---|---|---|
| GSM8K v2 | 80.22 | 133.78 | ×1.67 | 3.55 |
| HumanEval | 95.57 | 252.59 | ×2.64 | 4.57 |
| EvalPlus | 97.68 | 192.69 | ×1.97 | 4.10 |
| Math | 73.63 | 139.84 | ×1.90 | 4.40 |