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Gemma 7B Aps It by google

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  Arxiv:2406.19803   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-7b   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/gemma-7b-aps-it 

Gemma 7B Aps It Benchmarks

LLME Score: 0.21009
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B Aps It (google/gemma-7b-aps-it)
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Gemma 7B Aps It Parameters and Internals

Model Type 
text-generation, abstractive proposition segmentation
Use Cases 
Areas:
academia, research
Applications:
abstractive proposition segmentation, claim extraction
Primary Use Cases:
grounding, retrieval, fact-checking
Limitations:
English only, not suitable for other languages or tasks
Considerations:
Guidelines for responsible use.
Additional Notes 
Model trained on synthetically generated data and certain guards to ensure bias, safety considerations.
Supported Languages 
English (trained for abstractive proposition segmentation)
Training Details 
Data Sources:
training data contains synthetically generated examples, ROSE dataset
Methodology:
few-shot prompting with Gemini Ultra, propositions list generated by a teacher LLM
Context Length:
8192
Hardware Used:
TPUv5e
Safety Evaluation 
Methodologies:
Evaluation on multi-domain datasets, axis evaluation for abstractive proposition segmentation
Risk Categories:
bias, misinformation
Responsible Ai Considerations 
Fairness:
bias mitigation guidelines provided, continuous monitoring encouraged
Transparency:
details summarized in model card
Accountability:
developers are responsible for adhering to guidelines and regulations
Mitigation Strategies:
Guidelines for content safety, educational resources for misuse mitigation.
Input Output 
Input Format:
text passage
Accepted Modalities:
text
Output Format:
List of propositions grouped per sentence
LLM NameGemma 7B Aps It
Repository 🤗https://huggingface.co/google/gemma-7b-aps-it 
Base Model(s)  Gemma 7B   google/gemma-7b
Model Size7b
Required VRAM17.1 GB
Updated2025-09-23
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 Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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

Rank the Gemma 7B Aps 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 v20241124
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