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Marathi GPT Gemma 2B by l3cube-pune

 »  All LLMs  »  l3cube-pune  »  Marathi GPT Gemma 2B   URL Share it on

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  Arxiv:2205.14728   Autotrain compatible   Endpoints compatible   Gemma   Mr   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/l3cube-pune/marathi-gpt-gemma-2b 

Marathi GPT Gemma 2B Benchmarks

LLME Score: 0.1447
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Marathi GPT Gemma 2B (l3cube-pune/marathi-gpt-gemma-2b)
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Marathi GPT Gemma 2B Parameters and Internals

Model Type 
Gemma, text generation
Additional Notes 
This is part of the MahaNLP initiative. More details coming soon.
Supported Languages 
Marathi (high)
Training Details 
Data Sources:
translated Marathi datasets
Methodology:
LoRA fine-tuning
Input Output 
Input Format:
\n### Instruction:\nमहाराष्ट्राची राजधानी काय आहे?\n\n### Input:\n\n\n### Response:\n
Accepted Modalities:
text
Output Format:
text
LLM NameMarathi GPT Gemma 2B
Repository 🤗https://huggingface.co/l3cube-pune/marathi-gpt-gemma-2b 
Model Size2b
Required VRAM9 GB
Updated2025-09-23
Maintainerl3cube-pune
Model Typegemma
Model Files  4.9 GB: 1-of-2   4.1 GB: 2-of-2
Supported Languagesmr
Model ArchitectureGemmaForCausalLM
Licensecc-by-4.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
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 l3cube-pune/marathi-gpt-gemma-2b.

Rank the Marathi GPT Gemma 2B 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 v20241124
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