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Jeff Boudier

jeffboudier

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Hugging Face!

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jeffboudier's activity

reacted to andrewrreed's post with πŸ”₯ 4 days ago
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2525
πŸš€ Supercharge your LLM apps with Langfuse on Hugging Face Spaces!

Langfuse brings end-to-end observability and tooling to accelerate your dev workflow from experiments through production

Now available as a Docker Space directly on the HF Hub! πŸ€—

πŸ” Trace everything: monitor LLM calls, retrieval, and agent actions with popular frameworks
1⃣ One-click deployment: on Spaces with persistent storage and integrated OAuth
πŸ›  Simple Prompt Management: Version, edit, and update without redeployment
βœ… Intuitive Evals: Collect user feedback, run model/prompt evaluations, and improve quality
πŸ“Š Dataset Creation: Build datasets directly from production data to enhance future performance

Kudos to the Langfuse team for this collab and the awesome, open-first product they’re building! πŸ‘ @marcklingen @Clemo @MJannik

πŸ”— Space: langfuse/langfuse-template-space
πŸ”— Docs: https://huggingface.co/docs/hub/spaces-sdks-docker-langfuse
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posted an update 4 days ago
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470
NVIDIA just announced the Cosmos World Foundation Models, available on the Hub: nvidia/cosmos-6751e884dc10e013a0a0d8e6

Cosmos is a family of pre-trained models purpose-built for generating physics-aware videos and world states to advance physical AI development.
The release includes Tokenizers nvidia/cosmos-tokenizer-672b93023add81b66a8ff8e6

Learn more in this great community article by @mingyuliutw and @PranjaliJoshi https://huggingface.co/blog/mingyuliutw/nvidia-cosmos
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reacted to MoritzLaurer's post with πŸ”₯ 5 days ago
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2156
πŸš€ Releasing a new zeroshot-classifier based on ModernBERT! Some key takeaways:

- ⚑ Speed & efficiency: It's multiple times faster and uses significantly less memory than DeBERTav3. You can use larger batch sizes and enabling bf16 (instead of fp16) gave me a ~2x speed boost as well
- πŸ“‰ Performance tradeoff: It performs slightly worse than DeBERTav3 on average across my zeroshot classification task collection
- 🧠 Use cases: I recommend using it for scenarios requiring speed and a larger context window (8k).
- πŸ’‘ What’s next? I’m preparing a newer version trained on better + longer synthetic data to fully leverage the 8k context window and improve upon the training mix of my older zeroshot-v2.0 models. I also hope that there will be a multilingual variant in the future.

Great work by https://huggingface.co/answerdotai !

If you’re looking for a high-speed zeroshot classifier, give it a try!

πŸ“„ Resources below: πŸ‘‡
Base model: MoritzLaurer/ModernBERT-base-zeroshot-v2.0
Large model: MoritzLaurer/ModernBERT-large-zeroshot-v2.0
Updated zeroshot collection: MoritzLaurer/zeroshot-classifiers-6548b4ff407bb19ff5c3ad6f
ModernBERT collection with paper: answerdotai/modernbert-67627ad707a4acbf33c41deb
reacted to burtenshaw's post with πŸ€—β€οΈ 23 days ago
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2659
People are flexing their end of year stats, so I made this app to show hub stats in a tidy design!

Thanks @Ameeeee and @jfcalvo for the feature from Argilla!
burtenshaw/recap
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reacted to julien-c's post with πŸ€—β€οΈ about 1 month ago
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8203
After some heated discussion πŸ”₯, we clarify our intent re. storage limits on the Hub

TL;DR:
- public storage is free, and (unless blatant abuse) unlimited. We do ask that you consider upgrading to PRO and/or Enterprise Hub if possible
- private storage is paid above a significant free tier (1TB if you have a paid account, 100GB otherwise)

docs: https://huggingface.co/docs/hub/storage-limits

We optimize our infrastructure continuously to scale our storage for the coming years of growth in Machine learning, to the benefit of the community πŸ”₯

cc: @reach-vb @pierric @victor and the HF team
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reacted to clem's post with πŸ”₯ about 1 month ago
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4513
Six predictions for AI in 2025 (and a review of how my 2024 predictions turned out):

- There will be the first major public protest related to AI
- A big company will see its market cap divided by two or more because of AI
- At least 100,000 personal AI robots will be pre-ordered
- China will start to lead the AI race (as a consequence of leading the open-source AI race).
- There will be big breakthroughs in AI for biology and chemistry.
- We will begin to see the economic and employment growth potential of AI, with 15M AI builders on Hugging Face.

How my predictions for 2024 turned out:

- A hyped AI company will go bankrupt or get acquired for a ridiculously low price
βœ… (Inflexion, AdeptAI,...)

- Open-source LLMs will reach the level of the best closed-source LLMs
βœ… with QwQ and dozens of others

- Big breakthroughs in AI for video, time-series, biology and chemistry
βœ… for video πŸ”΄for time-series, biology and chemistry

- We will talk much more about the cost (monetary and environmental) of AI
βœ…Monetary πŸ”΄Environmental (😒)

- A popular media will be mostly AI-generated
βœ… with NotebookLM by Google

- 10 millions AI builders on Hugging Face leading to no increase of unemployment
πŸ”œcurrently 7M of AI builders on Hugging Face
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reacted to andito's post with ❀️ about 1 month ago
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3304
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! πŸš€
- 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
posted an update about 2 months ago
replied to clem's post 3 months ago
replied to clem's post 3 months ago
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πŸ“† Wed Oct 30th - 9am PT / 12pm ET / 18h CET
Can't wait!

reacted to clem's post with β€οΈπŸ€—πŸ”₯πŸš€ 3 months ago
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4442
This is no Woodstock AI but will be fun nonetheless haha. I’ll be hosting a live workshop with team members next week about the Enterprise Hugging Face hub.

1,000 spots available first-come first serve with some surprises during the stream!

You can register and add to your calendar here: https://streamyard.com/watch/JS2jHsUP3NDM
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reacted to victor's post with πŸš€β€οΈπŸ”₯πŸ€— 3 months ago
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2673
NEW - Inference Playground

Maybe like me you have always wanted a super easy way to compare llama3.2-1B vs. llama3.2-3B? or the same model with different temperatures?

Trying and comparing warm Inference API models has never been easier!
Just go to https://hf.co/playground, set your token and you're ready to go.
We'll keep improving, feedback welcome 😊
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