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Octopus V1 Gemma 7B by NexaAIDev

 »  All LLMs  »  NexaAIDev  »  Octopus V1 Gemma 7B   URL Share it on

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  Arxiv:2307.09288   Arxiv:2404.01549   8-bit   Android   Autotrain compatible   Bitsandbytes   Conversational   En   Function calling   Gemma   On-device language model   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NexaAIDev/Octopus-v1-gemma-7B 

Octopus V1 Gemma 7B Benchmarks

LLME Score: 0.18068
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Octopus V1 Gemma 7B (NexaAIDev/Octopus-v1-gemma-7B)

Octopus V1 Gemma 7B Parameters and Internals

Model Type 
on-device language model, conversational
Use Cases 
Areas:
research, commercial applications
Applications:
automating software development, API integration
Primary Use Cases:
function calling of software APIs
Additional Notes 
The model supports over 30,000 APIs sourced from RapidAPI Hub, ensuring a wide range of functionality.
Supported Languages 
en (high)
Input Output 
Input Format:
text prompts
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Utilize conditional masking for improved accuracy in function call generation.
LLM NameOctopus V1 Gemma 7B
Repository 🤗https://huggingface.co/NexaAIDev/Octopus-v1-gemma-7B 
Model Size7b
Required VRAM9.4 GB
Updated2024-12-14
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
Torch Data Typebfloat16

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

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  

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Release v20241124
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