Update README.md

README.md

@@ -10,10 +10,10 @@ refer to the model's page.
 ## Impact on performance
 Impact of quantization on a set of models.
 
-Evaluation of the model was conducted using the **PoLL (Pool of LLM)** technique, focusing on **100 French programming and computer science questions** spanning
-topics in pseudo-code, Java, Python, and JavaScript. Performance was assessed through scores aggregated from **six evaluations** (two per evaluator). The evaluators
-included GPT-4o, Gemini-1.5-pro, and Claude3.5-sonnet, each analyzing the model’s understanding and response accuracy on code syntax, logic, and technical
-explanations across these languages and formats.
+We evaluated the models using the **PoLL (Pool of LLM)** technique a panel of giga-models (GPT-4o, Gemini Pro 1.5, and Claude-Sonnet 3.5). The scoring ranged from 0,
+indicating a model unsuitable for the task, to 5, representing a model that fully met expectations. The evaluation was based on 67 instructions across four programming
+languages: Python, Java, JavaScript, and Pseudo-code. All tests were conducted in a French-language context, and models were heavily penalized if they responded in
+another language, even if the response was technically correct.
 
 Performance Scores (on a scale of 5):
 | Model                                        | Score    | # params (Billion) | size (GB) |