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Gemma 2 9B It Tr by neuralwork

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Gemma 2 9B It Tr is an open-source language model by neuralwork. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.19.

Base model:finetune:google/gem... Base model:google/gemma-2-9b-i...   Conversational   Deploy:azure   Endpoints compatible   Gemma2   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Tr
Model Card on HF 🤗: https://huggingface.co/neuralwork/gemma-2-9b-it-tr 

Gemma 2 9B It Tr Benchmarks

LLME Score: 0.19204
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 It Tr (neuralwork/gemma-2-9b-it-tr)
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Gemma 2 9B It Tr Parameters and Internals

LLM NameGemma 2 9B It Tr
Repository 🤗https://huggingface.co/neuralwork/gemma-2-9b-it-tr 
Base Model(s)  Gemma 2 9B It   google/gemma-2-9b-it
Model Size9b
Required VRAM18.6 GB
Updated2025-12-17
Maintainerneuralwork
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 Languagestr
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.48.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typebfloat16

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Gemma 2 9B It Advanced V2.18K / 20.4 GB428
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Note: green Score (e.g. "73.2") means that the model is better than neuralwork/gemma-2-9b-it-tr.

Rank the Gemma 2 9B It Tr 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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