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Volare by MoxoffSpA

 »  All LLMs  »  MoxoffSpA  »  Volare   URL Share it on

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  Autotrain compatible   Chatml   En   Endpoints compatible   Gemma   It   Region:us   Safetensors   Sft   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MoxoffSpA/Volare 

Volare Benchmarks

ARC: 62.97 vs 96.7 (so35)-34.9%
HellaSwag: 82.13 vs 95.3 (gpt4)-13.8%
MMLU: 65.06 vs 88.3 (so35)-26.3%
TruthfulQA: 47.3 vs 59 (gpt4)-19.8%
WinoGrande: 78.14 vs 87.5 (gpt4)-10.7%
GSM8K: 52.31 vs 96.4 (so35)-45.7%
LLME Score: 0.25354
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Volare (MoxoffSpA/Volare)

Volare Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Retrieval Augmented Generation (RAG) tasks, applications requiring contextual awareness
Limitations:
The model can produce problematic outputs when prompted to do so
Additional Notes 
Volare is an updated version of the Gemma7B model, particularly adjusted for better contextual understanding and RAG tasks.
Supported Languages 
it (fluent), en (fluent)
Training Details 
Data Sources:
SQUAD-it, in-house datasets
Methodology:
Fine-tuned with SFT and LoRA adjustments
Input Output 
Input Format:
Prompts with questions and context
Accepted Modalities:
text
Output Format:
Generated text responses
LLM NameVolare
Repository 🤗https://huggingface.co/MoxoffSpA/Volare 
Model Size7b
Required VRAM17.1 GB
Updated2024-12-21
MaintainerMoxoffSpA
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagesit en
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MoxoffSpA/Volare.

Rank the Volare 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 v20241217
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