Update DFlash recommendation

README.md

@@ -108,7 +108,7 @@ Laguna S 2.1-NVFP4 is supported in vLLM, Transformers, and TRT-LLM thanks to the
 The full vLLM recipe is on the main [Laguna S 2.1 model card](https://huggingface.co/poolside/Laguna-S-2.1) and on the [vLLM recipes page](https://recipes.vllm.ai/poolside/Laguna-S-2.1). Quantization is detected automatically from `quantization_config` in this checkpoint, so the same command works with `poolside/Laguna-S-2.1-NVFP4` substituted for the model ID. No extra flags required.
 
 > [!NOTE]
-> **Optional: speculative decoding with DFlash.** Pair with the quantization-matched draft model [poolside/Laguna-S-2.1-DFlash-NVFP4](https://huggingface.co/poolside/Laguna-S-2.1-DFlash-NVFP4) by adding `--speculative-config '{"model":"poolside/Laguna-S-2.1-DFlash-NVFP4","num_speculative_tokens":15,"method":"dflash"}'` to the serve command.
+> **Optional: speculative decoding with DFlash.** Pair with the quantization-matched draft model [poolside/Laguna-S-2.1-DFlash-NVFP4](https://huggingface.co/poolside/Laguna-S-2.1-DFlash-NVFP4) by adding `--speculative-config '{"model":"poolside/Laguna-S-2.1-DFlash-NVFP4","num_speculative_tokens":7,"method":"dflash"}'` to the serve command.
 
 #### DGX Spark & Mac Studio
 
@@ -177,7 +177,7 @@ export MAX_JOBS=4                     # cap JIT fan-out; see warning below
 source ~/venvs/vllm025/bin/activate
 
 vllm serve poolside/Laguna-S-2.1-NVFP4 \
-  --speculative-config '{"model":"poolside/Laguna-S-2.1-DFlash-NVFP4","num_speculative_tokens":15}' \
+  --speculative-config '{"model":"poolside/Laguna-S-2.1-DFlash-NVFP4","num_speculative_tokens":7}' \
   --enable-auto-tool-choice \
   --tool-call-parser poolside_v1 \
   --reasoning-parser poolside_v1 \