Falcon2 5.5B Danish by ssmits

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Falcon2 5.5B Danish Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon2 5.5B Danish (ssmits/Falcon2-5.5B-Danish)

Falcon2 5.5B Danish Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, foundation for further specialization, fine-tuning
Applications:
summarization, text generation, chatbot
Primary Use Cases:
Quantum computing concept explanation
Limitations:
limited generalization to non-model-specific languages
Considerations:
Requires adequate assessment and mitigation of risks for production use.
Additional Notes 
The merge method ensures layer similarity with Danish text inputs.
Supported Languages 
da (primary), en (limited), de (limited), es (limited), fr (limited), it (limited), pt (limited), pl (limited), nl (limited), ro (limited), cs (limited), sv (limited)
Training Details 
Data Sources:
wikimedia/wikipedia Danish subset
Data Volume:
5T tokens
Methodology:
Continued pre-training with pruning strategy using PruneMe
Model Architecture:
Pruned model layers [0, 25] and [56, 59] undergo passthrough merge method
Responsible Ai Considerations 
Fairness:
The model may carry stereotypes and biases encountered online.
Mitigation Strategies:
Recommend finetuning for specific tasks and precautions in production use.
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Use finetuning and specify tasks of interest.
LLM NameFalcon2 5.5B Danish
Repository ๐Ÿค—https://huggingface.co/ssmits/Falcon2-5.5B-Danish 
Base Model(s)  Falcon 11B   tiiuae/falcon-11B
Merged ModelYes
Model Size11b
Required VRAM10.9 GB
Updated2025-02-22
Maintainerssmits
Model Typefalcon
Model Files  0.9 GB: 1-of-12   1.0 GB: 2-of-12   0.9 GB: 3-of-12   0.9 GB: 4-of-12   1.0 GB: 5-of-12   0.9 GB: 6-of-12   0.9 GB: 7-of-12   1.0 GB: 8-of-12   0.9 GB: 9-of-12   0.9 GB: 10-of-12   1.0 GB: 11-of-12   0.6 GB: 12-of-12
Supported Languagesda
Model ArchitectureFalconForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ssmits/Falcon2-5.5B-Danish.

Rank the Falcon2 5.5B Danish Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227