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Org page for Safetensors: Simple, safe way to store and distribute tensors
victor 
posted an update 5 days ago
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477
Sharing how I built the LongCat-Video-Avatar 1.5 Space (+500k views on X) in one agent session. Gave a coding agent its own AI lab on ZeroGPU, framed the goal, walked away. It designed, deployed, tested against the live API, fixed, shipped.

Full recipe with the copy-paste prompt: https://huggingface.co/blog/victor/building-zerogpu-spaces-autonomously
danieldk 
posted an update 11 days ago
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176
Two large changes in kernel-builder this week:

kernel-builder now links libstdc++ dynamically. To support a wide range of systems, we build against libstdc++ from manylinux_2_28 (EL 8 and later).

Following our Torch support policy that the current and previous Torch versions are supported, Torch 2.10 support was removed. We will soon also support the Torch stable ABI, so that it is possible to write kernels that support a large number of Torch versions.
victor 
posted an update about 2 months ago
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6097
Want to share my enthusiasm for zai-org/GLM-5.1 here too 🔥

I think we have it: our open source Claude Code = GLM-5.1 + Pi (https://pi.dev/) - Built a Three.js racing game to eval and it's extremely impressive. Thoughts:

- One-shot car physics with real drift mechanics (this is hard)

- My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen

- 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters

- All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio!

- Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed

You are going to hear about this model a lot in the next months - open source let's go - and thanks z-ai🚀🚀
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mishig 
posted an update 2 months ago
julien-c 
in safetensors/convert 3 months ago

Reopen the Space

5
#43 opened 3 months ago by
laiking
lysandre 
in safetensors/convert 3 months ago

Reopen the Space

5
#43 opened 3 months ago by
laiking
julien-c 
in safetensors/convert 3 months ago

Update README.md

1
#45 opened 3 months ago by deleted

Update README.md

1
#46 opened 3 months ago by deleted
victor 
submitted a paper to Daily Papers 3 months ago
julien-c 
submitted a paper to Daily Papers 4 months ago
victor 
posted an update 4 months ago
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2811
Interesting article: use Claude Code to help open models write CUDA kernels (for eg) by turning CC traces into Skills. They made a library out of it 👀

https://huggingface.co/blog/upskill
danieldk 
posted an update 4 months ago
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2841
kernels 0.12 is out! 🎉

Changes:

* Support for kernel version branches to gracefully roll out kernel API changes.
* Support for PyTorch 2.10.
* kernel-builder is now merged into the kernels repo.
* Initial support for standardized kernel benchmarks.

https://github.com/huggingface/kernels/releases/tag/v0.12.0
victor 
posted an update 5 months ago
julien-c 
in safetensors/convert 6 months ago

Prevent race condition when duplicate conversion requests are done in parallel

1
#42 opened 8 months ago by
lysandre
lysandre 
updated a Space 6 months ago
danieldk 
posted an update 7 months ago
lysandre 
in safetensors/convert 8 months ago

Prevent race condition when duplicate conversion requests are done in parallel

1
#42 opened 8 months ago by
lysandre

More robust with tied weight keys

2
#41 opened 12 months ago by
cyrilvallez
lysandre 
posted an update 9 months ago
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8966
We're kick-starting the process of Transformers v5, with @ArthurZ and @cyrilvallez !

v5 should be significant: we're using it as a milestone for performance optimizations, saner defaults, and a much cleaner code base worthy of 2025.

Fun fact: v4.0.0-rc-1 came out on Nov 19, 2020, nearly five years ago!
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danieldk 
posted an update 11 months ago
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2073
kernels 0.8.0 is out: https://github.com/huggingface/kernels/releases/tag/v0.8.0

This release refines kernel selection in the kernelize function:

• You can now register kernels for certain CUDA capability ranges.
• Rather than doing exact mating of modes, fall back to other compatible modes. If you are kernelizing for inference, but you only registered a training + torch.compile kernel, it will use that kernel since it is compatible with inference as well.
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