Who developed Mit B0 Image Segmentation Carvana Image Masking and how large is it?

Mit B0 Image Segmentation Carvana Image Masking is developed by DunnBC22. 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 Mit B0 Image Segmentation Carvana Image Masking?

Mit B0 Image Segmentation Carvana Image Masking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mit B0 Image Segmentation Carvana Image Masking by DunnBC22

Name: Mit B0 Image Segmentation Carvana Image Masking
Author: DunnBC22

Mit B0 Image Segmentation Carvana Image Masking is an open-source language model by DunnBC22. Features: LLM, License: apache-2.0, LLM Explorer Score: 0.08.

Adapter En Finetuned Generated from trainer Image-segmentation Image masking Lora Pytorch Region:us Tensorboard

Model Card on HF 🤗: https://huggingface.co/DunnBC22/mit-b0-Image_segmentation-Carvana_Image_Masking

Mit B0 Image Segmentation Carvana Image Masking Parameters and Internals

Model Type

image-segmentation

Use Cases

Primary Use Cases:

Image Segmentation

Considerations:

Ensure proper citation of authors for datasets and technologies used.

Additional Notes

Used for skillset improvement. Training hyperparameters include a learning rate of 0.0005, train and eval batch size of 8, and an Adam optimizer.

Supported Languages

en (High proficiency)

Training Details

Data Sources:

https://www.kaggle.com/datasets/ipythonx/carvana-image-masking-png

Methodology:

fine-tuning

Model Architecture:

Using a fine-tuned version of nvidia/mit-b0 for image segmentation

LLM Name	Mit B0 Image Segmentation Carvana Image Masking
Repository 🤗	https://huggingface.co/DunnBC22/mit-b0-Image_segmentation-Carvana_Image_Masking
Required VRAM	0 GB
Updated	2026-08-08
Maintainer	DunnBC22
Model Files	0.0 GB 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	lora_only
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	query\|values
LoRA Alpha	32
LoRA Dropout	0.1
R Param	32

Rank the Mit B0 Image Segmentation Carvana Image Masking capabilities

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 to Mit B0 Image Segmentation Carvana Image Masking

Best Alternatives	Context / RAM	Downloads	Likes
... Flan T5 Large Second Try Lora	0K / 0.1 GB	16	1
Qwen3 Belarusian	0K / 0.1 GB	0	2
Phi 3 Mini 4K Instruct Sa V0.1	0K / 0 GB	6	0
Nemo Kimi Lora	0K / 1.8 GB	9	0
Nemo Books Lora 4	0K / 1.8 GB	6	0
Nemo Books Lora	0K / 1.8 GB	6	0
Llava Rad	0K / 0.3 GB	605	25
Reflection Model	0K / 0.2 GB	0	1
Francois KTO Lora	0K / 0 GB	11	0
Francois KTO Lora	0K / 0 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than DunnBC22/mit-b0-Image_segmentation-Carvana_Image_Masking.