Update README.md

README.md

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 **OpenResearcher** is a fully open agentic large language model (30B-A3B) designed for **long-horizon deep research** scenarios. It achieves an impressive **54.8%** accuracy on [BrowseComp-Plus](https://huggingface.co/spaces/Tevatron/BrowseComp-Plus), surpassing performance of `GPT-4.1`, `Claude-Opus-4`, `Gemini-2.5-Pro`, `DeepSeek-R1` and `Tongyi-DeepResearch`. It also demonstrates **leading performance** across a range of deep research benchmarks, including BrowseComp, GAIA, WebWalkerQA, and xbench-DeepSearch. We **fully open-source** the training and evaluation recipe—including data, model, training methodology, and evaluation framework for everyone to progress deep research.
 
 ## OpenResearcher-30B-A3B-GGUF
-To support efficient deployment, we release several quantized versions of [OpenResearcher-30B-A3B](https://huggingface.co/OpenResearcher/OpenResearcher-30B-A3B), including `Q4_K_M`, `Q5_0`, `Q5_K_M`, `Q6_K`, and `Q8_0`. Check out [llama.cpp documentation](https://github.com/ggml-org/llama.cpp) for more info.                                                                                                                                          
+**Note: For the best performance, we recommend using [OpenResearcher-30B-A3B](https://huggingface.co/OpenResearcher/OpenResearcher-30B-A3B).**
+
+To support efficient deployment, we release several quantized versions of [OpenResearcher-30B-A3B](https://huggingface.co/OpenResearcher/OpenResearcher-30B-A3B), including `Q4_K_M`, `Q5_0`, `Q5_K_M`, `Q6_K`, and `Q8_0`.                                                                                                                                      
 | Quantization | File Size | BPW | PPL | +/- | Tokens/sec |                                                                                       
 |---|---|---|---|---|---|
 | BF16 | 58.84 GiB | 16.00 | 8.4522 | 0.06489 | 4,117.90 |