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SeaPhi3 Mini by SeacomSrl

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  Autotrain compatible   Conversational   Custom code   Dataset:seacomsrl/rag-data   Endpoints compatible   Instruct   It   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SeacomSrl/SeaPhi3-mini 

SeaPhi3 Mini Benchmarks

LLME Score: 0.2186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SeaPhi3 Mini (SeacomSrl/SeaPhi3-mini)

SeaPhi3 Mini Parameters and Internals

Additional Notes 
Finetuned on Seacom/rag-data, an Italian translated dataset.
Supported Languages 
it (high)
Training Details 
Data Sources:
SeacomSrl/rag-data
LLM NameSeaPhi3 Mini
Repository 🤗https://huggingface.co/SeacomSrl/SeaPhi3-mini 
Model Size3.8b
Required VRAM7.7 GB
Updated2025-02-22
MaintainerSeacomSrl
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesit
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

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Artemide 3.5128K / 7.7 GB74532
Note: green Score (e.g. "73.2") means that the model is better than SeacomSrl/SeaPhi3-mini.

Rank the SeaPhi3 Mini Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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