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Gemma2 9B Vn by Huy227

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  Autotrain compatible   Conversational   En   Endpoints compatible   Gemma2   Llama-factory   Region:us   Safetensors   Sharded   Tensorflow   Vi
Model Card on HF 🤗: https://huggingface.co/Huy227/gemma2_9b_vn 

Gemma2 9b Vn Benchmarks

LLME Score: 0.19624
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 9B Vn (Huy227/gemma2_9b_vn)

Gemma2 9B Vn Parameters and Internals

Model Type 
text generation
Additional Notes 
Model focused mainly on Vietnamese
Supported Languages 
en (basic), vi (extensive)
LLM NameGemma2 9b Vn
Repository 🤗https://huggingface.co/Huy227/gemma2_9b_vn 
Model Size9b
Required VRAM18.6 GB
Updated2025-02-17
MaintainerHuy227
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen vi
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Huy227/gemma2_9b_vn.

Rank the Gemma2 9B Vn 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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Release v20241227
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