Gelan C All by Xenova

 ยป  All LLMs  ยป  Xenova  ยป  Gelan C All   URL Share it on

Gelan C All is an open-source language model by Xenova. Features: LLM, License: gpl-3.0, LLM Explorer Score: 0.12.

  Object-detection   Onnx   Region:us   Transformers.js   Yolov9
Model Card on HF ๐Ÿค—: https://huggingface.co/Xenova/gelan-c_all 

Gelan C All Benchmarks

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

Gelan C All Parameters and Internals

Model Type 
object-detection
Use Cases 
Areas:
Research, Commercial
Applications:
Real-time Object Detection, Surveillance
Primary Use Cases:
automated surveillance systems, autonomous driving
Limitations:
Requires compatible environment with ONNX, Performance may depend on the JavaScript execution capability of the system
Considerations:
Ensure a compatible environment for ONNX model usage.
Additional Notes 
Intended to work with ONNX weights via Transformers.js. Temporary solution for web compatibility.
Input Output 
Input Format:
Image as URL
Accepted Modalities:
image
Output Format:
Bounding box coordinates with confidence scores
Performance Tips:
Ensure image URL is accessible.
LLM NameGelan C All
Repository ๐Ÿค—https://huggingface.co/Xenova/gelan-c_all 
Updated2026-06-15
MaintainerXenova
Model Typeyolov9
Model ArchitectureAutoModel
Licensegpl-3.0

Best Alternatives to Gelan C All

Best Alternatives
Context / RAM
Downloads
Likes
Distil Longformer Base 40964K / 0.4 GB60
Daedalus 11K /  GB71
Tiny Random Detr1K / 0.2 GB150
Opengpt2 Pytorch Backward1K / 6 GB251
Opengpt2 Pytorch Forward1K / 6 GB111
Finsent Transformer0.5K / 0.4 GB21
Bert Chinese L 12 H 768 A 120.5K / 0.4 GB91
Simbert Chinese Base0.5K / 0.4 GB100
Simbert Chinese Tiny0.5K / 0 GB90
Bert Tiny0.5K / 0 GB2473938145
Note: green Score (e.g. "73.2") means that the model is better than Xenova/gelan-c_all.

Rank the Gelan C All 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? 54529 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260328a