Update README.md

README.md

@@ -38,16 +38,16 @@ metrics:
 
 * **SILMA Kashif 2B Instruct v1.0** is the premier release within the SILMA Kashif Family of models, specifically designed for **RAG** (Retrieval-Augmented Generation) tasks
 * Kashif excels in a specific task, answering questions based on contextual pieces in both Arabic and English. In addition, the model is also capable of performing Entity Extraction tasks as a minor skill
-* SILMA Kashif 2B v1.0 stands out as the top-performing open model within the 3-9 billion parameter range based on our evaluations using [SILMA RAGQA Benchmark](https://huggingface.co/datasets/silma-ai/silma-rag-qa-benchmark-v1.0)
+* SILMA Kashif 2B v1.0 stands out as the top-performing open model in RAG within the 3-9 billion parameter range based on our evaluations using [SILMA RAGQA Benchmark](https://huggingface.co/datasets/silma-ai/silma-rag-qa-benchmark-v1.0)
 * SILMA is built over the robust foundational models of Google Gemma, combining the strengths of both to provide you with unparalleled performance
 * SILMA is an open-weight model, free to use in accordance with our open license
 * Finally, the model comes with a context length of 12k
 
 **Important note:** Kashif is a specialized model which should ONLY be used in RAG setups. If you are looking for a general purpose model, please refer to [SILMA 9B Instruct v1.0](https://huggingface.co/silma-ai/SILMA-9B-Instruct-v1.0)
 
-## Model Skill and Capabilities
+## Model Skills and Capabilities
 
-The large language model underwent rigorous training to excel in performing a variety of skills:
+Kashif underwent rigorous training to excel in performing a variety of tasks:
 
 - The ability to answer general questions in Arabic and English
 - The ability to deal with short and long contexts
@@ -64,7 +64,7 @@ The large language model underwent rigorous training to excel in performing a va
 
 ## Model Evaluation
 
-![benchmark-colored-2.png](https://cdn-uploads.huggingface.co/production/uploads/63d7acf73130cadcaf827e84/klEZVsWiIu2aeEG2uyOLA.png)
+![silma-ragqa-benchmark-colored-2.png](https://cdn-uploads.huggingface.co/production/uploads/63d7acf73130cadcaf827e84/ufxxuArISZTVhK5q7YzaI.png)
 
 
 |Dataset                               | exact_match |  rouge1 | bleu | bertscore|