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Daniel van Strien PRO

davanstrien

https://danielvanstrien.xyz/

AI & ML interests

Machine Learning Librarian

Recent Activity

Reacted to andito's post with 🔥 about 7 hours ago

Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs. - SmolVLM generates tokens 7.5 to 16 times faster than Qwen2-VL! 🤯 - Other models at this size crash a laptop, but SmolVLM comfortably generates 17 tokens/sec on a macbook! 🚀 - SmolVLM can be fine-tuned on a Google collab! Or process millions of documents with a consumer GPU! - SmolVLM even outperforms larger models in video benchmarks, despite not even being trained on videos! Check out more! Demo: https://huggingface.co/spaces/HuggingFaceTB/SmolVLM Blog: https://huggingface.co/blog/smolvlm Model: https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct Fine-tuning script: https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb

liked a dataset about 8 hours ago

IGNF/PureForest

Reacted to nataliaElv's post with 👀 about 10 hours ago

Would you like to get a high-quality dataset to pre-train LLMs in your language? 🌏 At Hugging Face we're preparing a collaborative annotation effort to build an open-source multilingual dataset as part of the Data is Better Together initiative. Follow the link below, check if your language is listed and sign up to be a Language Lead! https://forms.gle/s9nGajBh6Pb9G72J6

View all activity

Articles

Introducing Synthetic Data Workshop: Your Gateway to Easy Synthetic Dataset Creation

Jun 20

• 12

Data Is Better Together: A Look Back and Forward

Jun 20

• 19

Synthetic dataset generation techniques: generating custom sentence similarity data

May 23

• 15

Synthetic dataset generation techniques: Self-Instruct

May 15

• 13

Can we create pedagogically valuable multi-turn synthetic datasets from Cosmopedia?

May 7

• 7

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models

Mar 20

• 67

Extracting Insights from Model Cards Using Open Large Language Models

Nov 27, 2023

Introducing IDEFICS: An Open Reproduction of State-of-the-art Visual Language Model

Aug 22, 2023

• 27

Huggy Lingo: Using Machine Learning to Improve Language Metadata on the Hugging Face Hub

Aug 2, 2023

• 1

The Hugging Face Hub for Galleries, Libraries, Archives and Museums

Jun 12, 2023

• 1

Introducing BERTopic Integration with Hugging Face Hub

May 31, 2023

• 7

Organizations

davanstrien's activity

Reacted to andito's post with 🔥 about 7 hours ago

Post

372

Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs.

- SmolVLM generates tokens 7.5 to 16 times faster than Qwen2-VL! 🤯
- Other models at this size crash a laptop, but SmolVLM comfortably generates 17 tokens/sec on a macbook! 🚀
- SmolVLM can be fine-tuned on a Google collab! Or process millions of documents with a consumer GPU!
- SmolVLM even outperforms larger models in video benchmarks, despite not even being trained on videos!

Check out more!
Demo: HuggingFaceTB/SmolVLM
Blog: https://huggingface.co/blog/smolvlm
Model: HuggingFaceTB/SmolVLM-Instruct
Fine-tuning script: https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb

liked a dataset about 8 hours ago

IGNF/PureForest

Preview • Updated 1 day ago • 693 • 13

Reacted to nataliaElv's post with 👀 about 10 hours ago

Post

473

Would you like to get a high-quality dataset to pre-train LLMs in your language? 🌏

At Hugging Face we're preparing a collaborative annotation effort to build an open-source multilingual dataset as part of the Data is Better Together initiative.

Follow the link below, check if your language is listed and sign up to be a Language Lead!

https://forms.gle/s9nGajBh6Pb9G72J6