LLM EXPLORER 59,694 MODELS INDEXED

Vit Large Patch32 384 Breast Histopathology Images by DunnBC22

By DunnBC22 · 0 downloads

Vit Large Patch32 384 Breast Histopathology Images is an open-source language model by DunnBC22. Features: LLM, License: apache-2.0, LLM Explorer Score: 0.08.

  Adapter   Dataset:imagefolder   En   Finetuned   Generated from trainer   Image-classification   Lora   Medical   Region:us   Tensorboard

Vit Large Patch32 384 Breast Histopathology Images Parameters and Internals

Model Type 
image-classification
Use Cases 
Primary Use Cases:
Medical image classification
Limitations:
The model's intended to demonstrate the creator's ability to solve a complex problem using technology.
Supported Languages 
en (Native)
Training Details 
Data Sources:
https://huggingface.co/datasets/EulerianKnight/breast-histopathology-images-train-test-valid-split
Methodology:
Fine-tuning
Model Architecture:
ViT (Vision Transformer)
LLM NameVit Large Patch32 384 Breast Histopathology Images
Repository πŸ€—https://huggingface.co/DunnBC22/vit-large-patch32-384-Breast_Histopathology_Images 
Required VRAM0 GB
Updated2026-07-16
MaintainerDunnBC22
Model Files  0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesquery|value
LoRA Alpha16
LoRA Dropout0.1
R Param16

Best Alternatives to Vit Large Patch32 384 Breast Histopathology Images

Best Alternatives
Context / RAM
Downloads
Likes
... Flan T5 Large Second Try Lora0K / 0.1 GB161
Qwen3 Belarusian0K / 0.1 GB02
Phi 3 Mini 4K Instruct Sa V0.10K / 0 GB60
Nemo Kimi Lora0K / 1.8 GB90
Nemo Books Lora 40K / 1.8 GB60
Nemo Books Lora0K / 1.8 GB60
Llava Rad0K / 0.3 GB60525
Reflection Model0K / 0.2 GB01
Francois KTO Lora0K / 0 GB110
Francois KTO Lora0K / 0 GB50
Note: green Score (e.g. "73.2") means that the model is better than DunnBC22/vit-large-patch32-384-Breast_Histopathology_Images.