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Ben Miller

benmillerat

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https://www.benmiller.at

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Recent Activity

liked a model 17 days ago

unsloth/GLM-4.6V-Flash-GGUF

updated a collection 17 days ago

updated a collection 19 days ago

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upvoted an article 19 days ago

Article

We Got Claude to Fine-Tune an Open Source LLM

22 days ago

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upvoted a collection about 1 month ago

Apple Neural Engine

Latest SOTA models supported on Apple Neural Engine • 7 items • Updated 23 days ago • 2

upvoted 17 collections 4 months ago

Core ML Segment Anything 2

8 items • Updated Aug 25 • 33

DCLM

DCLM Models + Datasets • 6 items • Updated Aug 25 • 27

AIM

AIM: Autoregressive Image Models • 5 items • Updated Aug 25 • 50

DFN Models + Data

CLIP Models trained using DFN-2B/DFN-5B datasets • 7 items • Updated Aug 25 • 17

Core ML Depth Anything

2 items • Updated Aug 25 • 13

Core ML FastViT

2 items • Updated Aug 25 • 10

Core ML Stable Diffusion

16 items • Updated Aug 25 • 26

DepthPro Models

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second • 4 items • Updated Aug 25 • 10

TiC-CLIP

Benchmark for the design of efficient continual learning of image-text models over years. • 18 items • Updated Aug 25 • 8

MobileCLIP Models + DataCompDR Data

MobileCLIP: Mobile-friendly image-text models with SOTA zero-shot capabilities. DataCompDR: Improved datasets for training image-text SOTA models. • 25 items • Updated Aug 26 • 37

OpenELM Pretrained Models

4 items • Updated Aug 25 • 52

OpenELM Instruct Models

4 items • Updated Aug 25 • 122

Core ML Gallery Models

7 items • Updated Aug 25 • 38

AIMv2

A collection of AIMv2 vision encoders that supports a number of resolutions, native resolution, and a distilled checkpoint. • 19 items • Updated Aug 25 • 82

DiffuCoder

4 items • Updated Aug 25 • 9

MobileCLIP2

MobileCLIP2: Mobile-friendly image-text models with SOTA zero-shot capabilities trained on DFNDR-2B • 37 items • Updated Sep 18 • 56

FastVLM

Efficient Vision Encoding for Vision Language Models • 9 items • Updated Sep 2 • 106