ssmits
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Falcon2-5.5B-multilingual

Text Generation

tiiuae/falcon-11B

Inference Endpoints

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ssmits commited on May 21

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@@ -20,6 +20,7 @@ language:
 - pl
 - ro
 - it
 ---
 # sliced
@@ -52,9 +53,9 @@ merge_method: passthrough
 dtype: bfloat16
 ```
-[PruneMe](https://github.com/arcee-ai/PruneMe) has been utilized using the wikimedia/wikipedia subsets of 10 languages by investigating layer similarity with 2000 samples per language. The layer ranges for pruning were determined based on the averages of each language analysis to maintain performance while reducing model size.
-![Layer Similarity Plot](https://cdn-uploads.huggingface.co/production/uploads/660c0a02cf274b3ab77dd6b7/A-5Wz8FyUKa0mvqbWdDeu.png)
 ## Direct Use
 Research on large language models; as a foundation for further specialization and finetuning for specific usecases (e.g., summarization, text generation, chatbot, etc.)

 - pl
 - ro
 - it
+- es
 ---
 # sliced
 dtype: bfloat16
 ```
+[PruneMe](https://github.com/arcee-ai/PruneMe) has been utilized using the wikimedia/wikipedia subsets of 11 languages by investigating layer similarity with 2000 samples per language. The layer ranges for pruning were determined based on the averages of each language analysis to maintain performance while reducing model size.
+![Layer Similarity Plot](https://cdn-uploads.huggingface.co/production/uploads/660c0a02cf274b3ab77dd6b7/47CiSRvJpmKGGfF-eUY6U.png)
 ## Direct Use
 Research on large language models; as a foundation for further specialization and finetuning for specific usecases (e.g., summarization, text generation, chatbot, etc.)