Update README.md

README.md

@@ -16,7 +16,7 @@ language:
 - en
 - fr
 ---
-# model Summary
+# Model Summary
 
 **bitnet-dpo-merged-modelstock7** *(2.41B params / Context Length: Maximum sequence length of 4096 tokens)*   
 A compact, agent-oriented small language model focused on language understanding and contextual decision-making.
@@ -41,7 +41,7 @@ Iterative DPO + Model merging :
 - Bilingual DPO (FR+EN) to sharpen preference selection across two languages, using the following datasets :  
   [jpacifico/french-orca-dpo-pairs-revised](https://huggingface.co/datasets/jpacifico/french-orca-dpo-pairs-revised)   
   [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs)   
-- Model merging (FR-centric + EN-centric) using [mergekit](https://github.com/cg123/mergekit) to broaden stylistic/lexical coverage.   
+- Model merging (ModelStock and TIES methods, via [Mergekit](https://github.com/cg123/mergekit) to combine complementary strengths of bilingual models (FR-centric + EN-centric), improving robustness across reasoning and comprehension tasks while maintaining stability.  
 
 # First benchmarks
 
@@ -109,4 +109,11 @@ parameters:
 dtype: bfloat16
 tokenizer_source: jpacifico/bitnet-dpo-merged-modelstock-retrain
 
-```
+```
+
+- **Developed by:** Jonathan Pacifico, 2025  
+- **Model type:** LLM  
+- **Language(s) (NLP):** French, English  
+- **License:** MIT  
+
+Made with ❤️ in France