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Gemma 2B Aps It by google

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Gemma 2B Aps It is an open-source language model by google. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: gemma, LLM Explorer Score: 0.15.

  Arxiv:2406.19803 Base model:finetune:google/gem...   Base model:google/gemma-2b   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/gemma-2b-aps-it 

Gemma 2B Aps It Benchmarks

LLME Score: 0.15187
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B Aps It (google/gemma-2b-aps-it)
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Gemma 2B Aps It Parameters and Internals

Model Type 
text generation, abstractive proposition segmentation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Abstractive proposition segmentation, Claim extraction, Grounding, Retrieval, Fact-checking
Primary Use Cases:
Breaking down text into meaningful components, Evaluation of generation tasks such as summarization
Limitations:
Only supports English text, Challenges with subtle nuances, sarcasm, figurative language
Considerations:
Ensure responsible and ethical use; adhere to privacy regulations.
Additional Notes 
Models are trained and evaluated for specific tasks, with emphasis on ethical guidelines and responsible AI use.
Supported Languages 
English (full support)
Training Details 
Data Sources:
synthetic examples with Gemini Ultra, ROSE dataset filtered by entailment model
Methodology:
Abstractive Proposition Segmentation (APS)
Context Length:
8192
Hardware Used:
TPUv5e
Responsible Ai Considerations 
Fairness:
Careful scrutiny and input data pre-processing to address biases.
Transparency:
Model card provides details on architecture, capabilities, limitations, and evaluation.
Accountability:
Guidelines are provided for responsibly using the model.
Mitigation Strategies:
Continuous monitoring and exploration of de-biasing techniques.
Input Output 
Input Format:
A text passage.
Accepted Modalities:
text
Output Format:
List of propositions grouped by sentences.
LLM NameGemma 2B Aps It
Repository 🤗https://huggingface.co/google/gemma-2b-aps-it 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM5.1 GB
Updated2026-05-09
Maintainergoogle
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
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-2b-aps-it.

Rank the Gemma 2B Aps 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  

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