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Gemma 2 9B Bangla 16bit by KillerShoaib

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  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-9b-...   Bn   Conversational   Gemma2   Llama   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/KillerShoaib/gemma-2-9b-bangla-16bit 

Gemma 2 9B Bangla 16bit Benchmarks

LLME Score: 0.20626
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 9B Bangla 16bit (KillerShoaib/gemma-2-9b-bangla-16bit)

Gemma 2 9B Bangla 16bit Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, gemma2, trl
Additional Notes 
This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameGemma 2 9B Bangla 16bit
Repository 🤗https://huggingface.co/KillerShoaib/gemma-2-9b-bangla-16bit 
Base Model(s)  Gemma 2 9B It Bnb 4bit   unsloth/gemma-2-9b-it-bnb-4bit
Model Size9b
Required VRAM18.6 GB
Updated2025-03-13
MaintainerKillerShoaib
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 Languagesbn
Quantization Type4bit
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
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 KillerShoaib/gemma-2-9b-bangla-16bit.

Rank the Gemma 2 9B Bangla 16bit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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