Who developed Yolov9 C and how large is it?

Yolov9 C is developed by Xenova. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Yolov9 C?

Yolov9 C is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Name: Yolov9 C
Author: Xenova

Yolov9 C is an open-source language model by Xenova. Features: LLM, License: gpl-3.0, LLM Explorer Score: 0.11.

Model Type

object-detection

Use Cases

Applications:

object-detection

Primary Use Cases:

Detecting objects such as cars, bicycles, and persons in images.

Additional Notes

The model uses ONNX weights with Transformers.js for object detection.

Input Output

Accepted Modalities:

image

Performance Tips:

Disable resizing if exact image coordinates are needed.

LLM Name	Yolov9 C
Repository 🤗	https://huggingface.co/Xenova/yolov9-c
Updated	2026-07-07
Maintainer	Xenova
Model Type	yolov9
Model Architecture	AutoModel
License	gpl-3.0

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives	Context / RAM	Downloads	Likes
Distil Longformer Base 4096	4K / 0.4 GB	6	0
Daedalus 1	1K / GB	9	1
Opengpt2 Pytorch Backward	1K / 6 GB	325	1
Tiny Random Detr	1K / 0.2 GB	15	0
Opengpt2 Pytorch Forward	1K / 6 GB	2	1
Finsent Transformer	0.5K / 0.4 GB	1	1
Bert Chinese L 12 H 768 A 12	0.5K / 0.4 GB	9	1
Simbert Chinese Base	0.5K / 0.4 GB	11	0
Simbert Chinese Tiny	0.5K / 0 GB	9	0
Bert Tiny	0.5K / 0 GB	1360936	147

Note: green Score (e.g. "73.2") means that the model is better than Xenova/yolov9-c.