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Gemma 7B It by unsloth

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  Autotrain compatible   Conversational   En   Endpoints compatible   Gemma   Gemma-7b   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Gemma 7B It Benchmarks

LLME Score: 0.21311
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 7B It Parameters and Internals

Model Type 
Text Generation, Language Models
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Finetuning language models quickly and efficiently
Primary Use Cases:
Model finetuning with reduced memory and faster performance
Considerations:
The model finetuning process may have limitations based on the dataset and hardware used.
Additional Notes 
The model supports quick and efficient finetuning through pre-developed notebooks accessible on platforms like Colab and Kaggle.
Input Output 
Accepted Modalities:
Text
Performance Tips:
Ensure optimal hardware setup to maximize performance benefits.
LLM NameGemma 7B It
Repository 🤗https://huggingface.co/unsloth/gemma-7b-it 
Model Size7b
Required VRAM17.1 GB
Updated2024-11-21
Maintainerunsloth
Model Typegemma
Model Files  7.0 GB: 1-of-3   6.9 GB: 2-of-3   3.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma 7B It (unsloth/gemma-7b-it)

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-7b-it.

Rank the Gemma 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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