Update README.md

README.md

@@ -22,11 +22,10 @@ datasets:
 * **Dataset**: [`cheapresearch/CheapResearch-DS-33k`](https://huggingface.co/datasets/cheapresearch/CheapResearch-DS-33k)
 * **Primary Use**: Fast, low-cost **DeepResearch** agent runs (browsing, multi-step reasoning, source-grounded answers)
 
-### Intended Use
-
-* Browser-based local research assistant (via **Alibaba-NLP/DeepResearch**)
-* Low-latency DR on modest GPUs/CPUs
+## Evaluation 
 
+<img src='hle.png' width='500'>
+<img src='simpleqa.png' width='500'>
 
 ## Training Data
 
@@ -58,10 +57,7 @@ MODEL_PATH=cheapresearch/CheapResearch-4B-Thinking
 
 * **Single 12–16GB GPU** is enough for 4B FP16; FP8/INT4 quantization allows smaller VRAM. If you quantize, the summary model can be local as well.
 
-## Evaluation 
 
-<img src='hle.png' width='500'>
-<img src='simpleqa.png' width='500'>
 
 ## Acknowledgements
 
@@ -132,6 +128,5 @@ model-index:
 ---
 ```
 
----
 
-If you share your **actual model ID** and any concrete eval numbers or training hyperparams, I’ll slot them in and tighten the “Training Procedure” and “Evaluation” sections for you.
+