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Gemma 2 27B It by google

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  102948   
  Arxiv:1705.03551   Arxiv:1804.06876   Arxiv:1804.09301   Arxiv:1809.02789   Arxiv:1811.00937   Arxiv:1904.09728   Arxiv:1905.07830   Arxiv:1905.10044   Arxiv:1907.10641   Arxiv:1911.01547   Arxiv:1911.11641   Arxiv:2009.03300   Arxiv:2009.11462   Arxiv:2101.11718   Arxiv:2103.03874   Arxiv:2107.03374   Arxiv:2108.07732   Arxiv:2109.07958   Arxiv:2110.08193   Arxiv:2110.14168   Arxiv:2203.09509   Arxiv:2206.04615   Arxiv:2304.06364   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2-27b   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/gemma-2-27b-it 

Gemma 2 27B It Benchmarks

MMLU Pro: 38.35
GPQA: 16.67
MUSR: 9.11
BBH: 49.27
IFEval: 79.78 vs 88 (so35)-9.3%
MATH Lvl 5: 23.87
LLME Score: 0.38698
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 27B It (google/gemma-2-27b-it)
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Gemma 2 27B It Parameters and Internals

Model Type 
text-to-text, decoder-only, large language model
Use Cases 
Areas:
Content Creation and Communication, Research and Education
Applications:
Text Generation, Chatbots and Conversational AI, Text Summarization, NLP Research, Language Learning Tools, Knowledge Exploration
Additional Notes 
These models have been trained with open weights for both pre-trained variants and instruction-tuned variants.
Supported Languages 
english (proficient)
Training Details 
Data Sources:
Web Documents, Code, Mathematics
Data Volume:
13 trillion tokens
Hardware Used:
TPU
Safety Evaluation 
Methodologies:
structured evaluations, red-teaming tests
Risk Categories:
child safety, content safety, representational harms, memorization, large-scale harms
Responsible Ai Considerations 
Mitigation Strategies:
Filtering based on content quality and safety.
Input Output 
Input Format:
Text string, such as a question, a prompt, or a document to be summarized.
Accepted Modalities:
text
Output Format:
Generated English-language text in response to the input.
LLM NameGemma 2 27B It
Repository 🤗https://huggingface.co/google/gemma-2-27b-it 
Base Model(s)  Gemma 2 27B   google/gemma-2-27b
Model Size27b
Required VRAM54.7 GB
Updated2025-09-23
Maintainergoogle
Model Typegemma2
Model Files  4.7 GB: 1-of-12   4.9 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   4.9 GB: 6-of-12   5.0 GB: 7-of-12   4.9 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   0.7 GB: 12-of-12
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Gemma 2 27B It

Model
Likes
Downloads
VRAM
...Horizon AI Korean Advanced 27B0110754 GB
Gemma 2 27B It GGUF719910 GB
Gemma 2 27B It GGUF06910 GB
Gemma 2 27B 8bit21528 GB
Gemma 2 27B 4bit01115 GB

Best Alternatives to Gemma 2 27B It

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Likes
ATOMIS32K / 66 GB65
SystemGemma2 27B It32K / 54.7 GB961
SystemGemma2 27B It32K / 54.7 GB83
Gemmasutra Pro 27B V1.18K / 54.8 GB26745547
...izon AI Korean Avengers V3 27B8K / 54.8 GB60
...izon AI Korean Avengers V2 27B8K / 54.8 GB60
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Gemma2Slerp2 27B8K / 54.8 GB41
GemmaStock1 27B8K / 54.8 GB60
...s Horizon AI Korean Superb 27B8K / 54.8 GB112

Rank the Gemma 2 27B It 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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