Modello Italia 9B by sapienzanlp

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Modello Italia 9B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Modello Italia 9B (sapienzanlp/modello-italia-9b)

Modello Italia 9B Parameters and Internals

Model Type 
large language model, causal language model
Use Cases 
Limitations:
may generate inaccurate or biased responses
Additional Notes 
This information is unofficial and subject to change.
Supported Languages 
it (high)
Training Details 
Data Sources:
Italian text and source code, Editoria Nazionale
Data Volume:
1T tokens (estimated)
Model Architecture:
GPT-NeoX
Responsible Ai Considerations 
Fairness:
Designed to respect the dignity and autonomy of all users.
Accountability:
Adaptation tests recommended for developers.
Input Output 
Input Format:
Chat-based prompt structure
Accepted Modalities:
text
Output Format:
Textual response
Performance Tips:
Test specific applications for safety and adaptation.
LLM NameModello Italia 9B
Repository ๐Ÿค—https://huggingface.co/sapienzanlp/modello-italia-9b 
Model Size9b
Required VRAM34 GB
Updated2025-02-22
Maintainersapienzanlp
Model Typegpt_neox
Model Files  4.8 GB: 1-of-8   4.7 GB: 2-of-8   4.7 GB: 3-of-8   4.7 GB: 4-of-8   4.7 GB: 5-of-8   4.7 GB: 6-of-8   4.7 GB: 7-of-8   1.0 GB: 8-of-8
Supported Languagesit
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size50176
Torch Data Typefloat32

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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