Octo Planner 2B by NexaAIDev

 ยป  All LLMs  ยป  NexaAIDev  ยป  Octo Planner 2B   URL Share it on

  Arxiv:2406.18082   Autotrain compatible   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

Octo Planner 2B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
๐ŸŒŸ Advertise your project ๐Ÿš€

Octo Planner 2B Parameters and Internals

Model Type 
On-device Language Model, Planner-Action Agents Framework
Use Cases 
Areas:
Edge devices, AI Agents
Primary Use Cases:
Efficient Planning, On-device planning for AI agents
Additional Notes 
Enables rapid and efficient planning without cloud connectivity, can be used with [Octopus-V2] for local AI Agent support.
Training Details 
Data Sources:
10 Android API descriptions
Methodology:
Fine-tuned for planning efficiency.
Input Output 
Input Format:
<|user|>prompt<|end|><|assistant|>
Accepted Modalities:
text
LLM NameOcto Planner 2B
Repository ๐Ÿค—https://huggingface.co/NexaAIDev/octo-planner-2b 
Model Size2b
Required VRAM5.1 GB
Updated2025-06-09
MaintainerNexaAIDev
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Octo Planner 2B (NexaAIDev/octo-planner-2b)

Best Alternatives to Octo Planner 2B

Best Alternatives
Context / RAM
Downloads
Likes
Gemma 1.1 2B It8K / 5.1 GB100643159
Codegemma 2B8K / 5.1 GB476980
EMO 2B8K / 5.1 GB48032
Gemma Ko 1.1 2B It8K / 5.1 GB15671
Octopus V28K / 5.1 GB1165885
... 2B Finetuned Sft Navarasa 2.08K / 10 GB85124
LION Gemma 2B Sft V1.08K / 5.1 GB140
Gemma 2B It Tamil V0.1 Alpha8K / 5.1 GB29597
Gemma 2B Orpo8K / 5.1 GB3228
LION Gemma 2B Odpo V1.08K / 10 GB174
Note: green Score (e.g. "73.2") means that the model is better than NexaAIDev/octo-planner-2b.

Rank the Octo Planner 2B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 48023 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124