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Octopus V2 GGUF by second-state

 »  All LLMs  »  second-state  »  Octopus V2 GGUF   URL Share it on

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  Android   Autotrain compatible Base model:nexaaidev/octopus-v... Base model:quantized:nexaaidev...   Conversational   En   Function calling   Gemma   Gguf   On-device language model   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Octopus-v2-GGUF 

Octopus V2 GGUF Benchmarks

LLME Score: 0.18337
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Octopus V2 GGUF (second-state/Octopus-v2-GGUF)

Octopus V2 GGUF Parameters and Internals

Model Type 
function calling, on-device language model, android
Input Output 
Input Format:
octopus Query: {input_text} Response:
LLM NameOctopus V2 GGUF
Repository 🤗https://huggingface.co/second-state/Octopus-v2-GGUF 
Model NameOctopus-V2-2B
Model CreatorNexaAIDev
Base Model(s)  Octopus V2   NexaAIDev/Octopus-v2
Model Size2b
Required VRAM1.2 GB
Updated2025-02-05
Maintainersecond-state
Model Typegemma
Model Files  1.2 GB   1.5 GB   1.4 GB   1.3 GB   1.6 GB   1.6 GB   1.6 GB   1.8 GB   1.8 GB   1.8 GB   2.1 GB   2.7 GB   10.0 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Vocabulary Size256022
Torch Data Typebfloat16

Best Alternatives to Octopus V2 GGUF

Best Alternatives
Context / RAM
Downloads
Likes
Gemma 2B It8K / 5.1 GB110948703
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Gemma 2B It GGUF8K / 0.9 GB998394
Gemma 2B T8K / 5.1 GB1250
Gemma 2B It8K / 1.5 GB110
Gemma 2B It8K / 5.1 GB51
Gemma 2B It Code8K / 5.1 GB50
Gemma 2B It Q8K / 1.6 GB101
...mma 2b Sauerkraut Gguf Chunked8K / 0.1 GB150
G2ft V28K / 5 GB50
Note: green Score (e.g. "73.2") means that the model is better than second-state/Octopus-v2-GGUF.

Rank the Octopus V2 GGUF 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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