Octopus V2 by NexaAIDev

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  Arxiv:2404.01744   Arxiv:2404.11459   Arxiv:2404.19296   Android   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2b   Conversational   En   Function calling   Gemma   On-device language model   Region:us   Safetensors   Sharded   Tensorflow

Octopus V2 Parameters and Internals

LLM NameOctopus V2
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM5.1 GB
Updated2024-07-27
MaintainerNexaAIDev
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256022
Torch Data Typebfloat16
Octopus V2 (NexaAIDev/Octopus-v2)

Quantized Models of the Octopus V2

Model
Likes
Downloads
VRAM
Octopus V2 GGUF61061 GB

Best Alternatives to Octopus V2

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Gemma 1.1 2B It0.48K / 5.1 GB54841131
Gemma 2B 10M0.38K / 10 GB308212
Codegemma 2B0.38K / 5.1 GB268863
Gemma Ko 1.1 2B It0.38K / 5.1 GB20461
EMO 2B0.38K / 5.1 GB34861
Gemma 2B Ko V00.38K / 5 GB20300
Gemma 2B Ko Dev Pbmt1920.38K / 5 GB25571
Gemma 2B Data Std0.38K / 5.1 GB20411
Gemma 2B Orpo0.38K / 5.1 GB70127
Gemma Ko 2B0.38K / 5.1 GB689030
Note: green Score (e.g. "73.2") means that the model is better than NexaAIDev/Octopus-v2.

Rank the Octopus V2 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 v2024072501