LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Gemma 1.1 7B It by google

 »  All LLMs  »  google  »  Gemma 1.1 7B It   URL Share it on

  12991   

Gemma 1.1 7B It is an open-source language model by google. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, License: gemma, LLM Explorer Score: 0.36, ELO: 1099, Arc: 60.1, HellaSwag: 76.1, MMLU: 60.9, GSM8K: 43.

  Arxiv:1705.03551   Arxiv:1804.06876   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:2107.03374   Arxiv:2108.07732   Arxiv:2110.08193   Arxiv:2110.14168   Arxiv:2206.04615   Arxiv:2304.06364   Arxiv:2312.11805   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/gemma-1.1-7b-it 

Gemma 1.1 7B It Benchmarks

LMSys ELO: 1099 vs 1272 (so35)-13.6%
ARC: 60.07 vs 96.7 (so35)-37.9%
HellaSwag: 76.14 vs 95.3 (gpt4)-20.1%
MMLU: 60.92 vs 88.3 (so35)-31%
GSM8K: 42.99 vs 96.4 (so35)-55.4%
LLME Score: 0.35925
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 1.1 7B It (google/gemma-1.1-7b-it)
🌟 Advertise your project 🚀

Gemma 1.1 7B 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
Primary Use Cases:
NLP Research, Language Learning Tools, Knowledge Exploration
Limitations:
Factual Accuracy, Common Sense
Considerations:
Developers are encouraged to exercise caution and implement appropriate content safety safeguards.
Additional Notes 
Training hardware and Tensor Processing Units (TPUs) highlighted along with sustainability focus.
Supported Languages 
English (primary language)
Training Details 
Data Sources:
Web Documents, Code, Mathematics
Data Volume:
6 trillion tokens
Methodology:
novel RLHF method
Hardware Used:
TPUs
Safety Evaluation 
Methodologies:
structured evaluations, internal red-teaming
Risk Categories:
Text-to-Text Content Safety, Text-to-Text Representational Harms, Memorization, Large-scale harm
Ethical Considerations:
Bias and Fairness, Misinformation and Misuse, Transparency and Accountability
Responsible Ai Considerations 
Fairness:
Models underwent careful scrutiny, input data pre-processing described and posterior evaluations reported.
Transparency:
Model card provides architectural, capabilities, limitations, and evaluation details.
Accountability:
Google is leading the model development, dissemination, and documenting processes.
Mitigation Strategies:
Continuous monitoring, content safety safeguards, developer and end-user education.
Input Output 
Input Format:
Text string input like a question or document for summarization
Accepted Modalities:
text
Output Format:
Generated English-language text
Performance Tips:
Longer context generally enhances model performance.
Release Notes 
Version:
Gemma 1.1 7B (IT)
Notes:
Improved model interaction, upgraded conversational capabilities, bug fixes.
LLM NameGemma 1.1 7B It
Repository 🤗https://huggingface.co/google/gemma-1.1-7b-it 
Model Size7b
Required VRAM17.1 GB
Updated2026-05-20
Maintainergoogle
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Gemma 1.1 7B It

Best Alternatives
Context / RAM
Downloads
Likes
Kaggle Math Model Gemma V112K / 17.1 GB50
Gemma 1.1 7B It8K / 17.1 GB124
Gemma 7B It8K / 17.1 GB157010
SeaLLM 7B V2.58K / 17.1 GB1272051
Zephyr 7B Gemma DPO Avg8K / 17.1 GB150
Zephyr 7B Gemma Rpo Avg8K / 17.1 GB70
... 7B Finetuned Sft Navarasa 2.08K / 34 GB162023
... Codegemma 2 7B It Alpaca V1.38K / 17.1 GB141
Zephyr 7B Gemma V0.18K / 17.1 GB101124
Gemma 7B Aps It8K / 17.1 GB735743

Rank the Gemma 1.1 7B It Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 53834 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer