Update README.md

README.md

@@ -17,7 +17,7 @@ Designed for **low-latency inference** on **NVIDIA RTX GPUs**, leveraging:
 - FlashHead
 - Custom vLLM generation via `embedl-models`
 
-FlashHead matches the baseline Llama-3.2-1B-Instruct within rounding error on common benchmarks (MMLU-Pro, HellaSwag, GSM8K, etc.) and, combined with quantization, delivers SOTA on-device latency.
+FlashHead matches the baseline Llama-3.2-1B-Instruct within rounding on common benchmarks (MMLU-Pro, HellaSwag, GSM8K, etc.) and, combined with quantization, achieves H200-class throughput on RTX Ada GPUs.
 
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