🏗️ Building on HF

3 12

Abhishek Shah

Abhiverse01

https://abhishekshah.vercel.app/

AI & ML interests

Agentic Research AI at PaperSupe • Open Source Projects • Advanced AI Engineering • MLOps.

Recent Activity

liked a model 1 day ago

himalaya-ai/himalaya-gemma-4-e2b-it

liked a Space 13 days ago

huggingface-projects/gemma-4-12b-it

liked a Space about 2 months ago

nvidia/Kimodo

View all activity

Organizations

liked a model 1 day ago

himalaya-ai/himalaya-gemma-4-e2b-it

5B • Updated 1 day ago • 111 • 12

liked a Space 13 days ago

Gemma 4 12B IT

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Chat with a multimodal AI using text and media

liked a Space about 2 months ago

Kimodo

🏃

269

Generate high-quality motions from text prompts

updated a model 3 months ago

Abhiverse01/viral-news-distilgpt2

Text Generation • 81.9M • Updated Mar 22 • 3

published a model 3 months ago

Abhiverse01/viral-news-distilgpt2

Text Generation • 81.9M • Updated Mar 22 • 3

liked a model 4 months ago

zai-org/GLM-5

Text Generation • 754B • Updated Apr 5 • 62.7k • • 2.11k

published a model 4 months ago

Abhiverse01/Actformers

Updated Feb 14

liked a model about 1 year ago

deepseek-ai/DeepSeek-V3-0324

Text Generation • 685B • Updated Mar 27, 2025 • 1.12M • • 3.13k

updated a dataset over 1 year ago

Abhiverse01/Final_codegen_1000_entries

Viewer • Updated Mar 21, 2025 • 999 • 11

liked a model over 1 year ago

hexgrad/Kokoro-82M

Text-to-Speech • Updated Apr 10, 2025 • 16.1M • • 6.39k

upvoted a paper over 1 year ago

MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models

Paper • 2410.09733 • Published Oct 13, 2024 • 9

updated a Space over 1 year ago

Inflancer Technology

🚀

Inflancer Technology, where innovation meets excellence

reacted to clem's post with ❤️ over 1 year ago

Post

3747

Very few people realize that most of the successful AI startups got successful because they were focused on open science and open-source for at least their first few years. To name but a few, OpenAI (GPT, GPT2 was open-source), Runway & Stability (stable diffusion), Cohere, Mistral and of course Hugging Face!

The reasons are not just altruistic, it's also because sharing your science and your models pushes you to build AI faster (which is key in a fast-moving domain like AI), attracts the best scientists & engineers and generates much more visibility, usage and community contributions than if you were 100% closed-source. The same applies to big tech companies as we're seeing with Meta and Google!

More startups and companies should release research & open-source AI, it's not just good for the world but also increases their probability of success!