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RoGemma 7B Instruct by OpenLLM-Ro

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  Arxiv:2406.18266   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-7b   Conversational Dataset:openllm-ro/ro sft alpa... Dataset:openllm-ro/ro sft alpa... Dataset:openllm-ro/ro sft came... Dataset:openllm-ro/ro sft doll... Dataset:openllm-ro/ro sft noro...   Dataset:openllm-ro/ro sft orca Dataset:openllm-ro/ro sft self...   Endpoints compatible   Gemma   Instruct   Model-index   Region:us   Ro   Safetensors   Sharded   Tensorflow

RoGemma 7B Instruct Benchmarks

LLME Score: 0.21106
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

RoGemma 7B Instruct Parameters and Internals

LLM NameRoGemma 7B Instruct
Repository 🤗https://huggingface.co/OpenLLM-Ro/RoGemma-7b-Instruct 
Base Model(s)  Gemma 7B   google/gemma-7b
Model Size7b
Required VRAM17.1 GB
Updated2024-10-10
MaintainerOpenLLM-Ro
Model Typegemma
Instruction-BasedYes
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
Supported Languagesro
Model ArchitectureGemmaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
RoGemma 7B Instruct (OpenLLM-Ro/RoGemma-7b-Instruct)

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Note: green Score (e.g. "73.2") means that the model is better than OpenLLM-Ro/RoGemma-7b-Instruct.

Rank the RoGemma 7B Instruct 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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