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Hansoldeco Gemma 2 9B It V0.1 by sosoai

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  Autotrain compatible   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sosoai/Hansoldeco-Gemma-2-9b-it-v0.1 

Hansoldeco Gemma 2 9B It V0.1 Benchmarks

LLME Score: 0.17044
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hansoldeco Gemma 2 9B It V0.1 (sosoai/Hansoldeco-Gemma-2-9b-it-v0.1)
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Hansoldeco Gemma 2 9B It V0.1 Parameters and Internals

Model Type 
Language Model, Text Generation
Use Cases 
Areas:
Research, Commercial
Applications:
Chatbots, Customer Support
Primary Use Cases:
Text Generation in Italian
Limitations:
May not perform well in non-Italian languages
Considerations:
Ensure data privacy and follow ethical guidelines.
Additional Notes 
Fine-tuning was conducted on domain-specific data to enhance performance in targeted applications.
Supported Languages 
Italian (Advanced)
Training Details 
Data Sources:
Proprietary Dataset
Data Volume:
Unknown Tokens
Methodology:
Fine-tuning
Model Architecture:
Transformer-based
Input Output 
Input Format:
Text Prompt
Accepted Modalities:
Text
Output Format:
Textual Response
Performance Tips:
Use clear and concise input prompts for better performance.
LLM NameHansoldeco Gemma 2 9B It V0.1
Repository 🤗https://huggingface.co/sosoai/Hansoldeco-Gemma-2-9b-it-v0.1 
Model Size9b
Required VRAM35.2 GB
Updated2025-07-31
Maintainersosoai
Model Typegemma2
Model Files  4.8 GB: 1-of-8   5.0 GB: 2-of-8   4.9 GB: 3-of-8   5.0 GB: 4-of-8   5.0 GB: 5-of-8   5.0 GB: 6-of-8   4.9 GB: 7-of-8   0.6 GB: 8-of-8
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.42.3
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 sosoai/Hansoldeco-Gemma-2-9b-it-v0.1.

Rank the Hansoldeco Gemma 2 9B It V0.1 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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Release v20241124
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