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Gemma2 Mitra Base by buddhist-nlp

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Gemma2 Mitra Base is an open-source language model by buddhist-nlp. Features: 9.2b LLM, VRAM: 37.1GB, Context: 8K, LLM Explorer Score: 0.15.

  Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/buddhist-nlp/gemma2-mitra-base 

Gemma2 Mitra Base Benchmarks

LLME Score: 0.14535
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 Mitra Base (buddhist-nlp/gemma2-mitra-base)

Gemma2 Mitra Base Parameters and Internals

LLM NameGemma2 Mitra Base
Repository 🤗https://huggingface.co/buddhist-nlp/gemma2-mitra-base 
Model Size9.2b
Required VRAM37.1 GB
Updated2026-07-30
Maintainerbuddhist-nlp
Model Typegemma2
Model Files  4.8 GB: 1-of-8   5.0 GB: 2-of-8   5.0 GB: 3-of-8   4.9 GB: 4-of-8   5.0 GB: 5-of-8   5.0 GB: 6-of-8   5.0 GB: 7-of-8   2.4 GB: 8-of-8
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than buddhist-nlp/gemma2-mitra-base.

Rank the Gemma2 Mitra Base 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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