Octopus V1 Gemma 7B by NexaAIDev

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  Arxiv:2404.01549   8-bit   Android   Autotrain compatible   Conversational   En   Function calling   Gemma   License:apache-2.0   On-device language model   Region:us   Safetensors   Sharded   Tensorflow

Rank the Octopus V1 Gemma 7B 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  
Octopus V1 Gemma 7B (NexaAIDev/Octopus-v1-gemma-7B)

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Note: green Score (e.g. "73.2") means that the model is better than NexaAIDev/Octopus-v1-gemma-7B.

Octopus V1 Gemma 7B Parameters and Internals

LLM NameOctopus V1 Gemma 7B
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM9.4 GB
Updated2024-04-20
MaintainerNexaAIDev
Model Typegemma
Model Files  5.0 GB: 1-of-2   4.4 GB: 2-of-2
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256001
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20240042001