KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Paper
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2412.06071
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Published
•
7
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Pytorch packages compiled with CUDA on Gradio Spaces
#144 opened 2 days ago
by
perler
use authentication in huggingface Gradio API!!!(hosting on ZeroGPU)
17
#129 opened about 2 months ago
by
Nerva1228
chansung
authored
a
paper
13 days ago
lemonaddie
authored
6
papers
14 days ago
3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation
Paper
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2412.07759
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Published
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18
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
Paper
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2309.10815
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Published
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1
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
Paper
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2403.12013
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Published
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Paper
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2301.07525
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Published
SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
Paper
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2412.07760
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Published
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49
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Paper
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2203.15224
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Published
Post
7598
After some heated discussion 🔥, 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 🔥
cc: @reach-vb @pierric @victor and the HF team
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 🔥
cc: @reach-vb @pierric @victor and the HF team
- 28 replies
tttoaster
authored
a
paper
15 days ago
tttoaster
authored
a
paper
16 days ago
[GPU-Zero] _pickle.PicklingError: Can't pickle local object 'State.__init__.<locals>.<lambda>'
1
#136 opened 16 days ago
by
Mar2Ding
BramVanroy
posted
an
update
19 days ago
Post
440
In the spirit of "Better late than never", I've finally written a brief overview paper for GEITje 7B Ultra. Initially released 10 months ago (oops), but still reaching around 1300 monthly downloads across the HF ecosystem (not including ollama).
GEITje 7B Ultra: A Conversational Model for Dutch (2412.04092)
While the paper discusses the model a little bit, I especially wanted to write about the datasets, which to this day seem an important asset for Dutch LLM training (SFT and preference tuning). We have a long way to go for Dutch, but publishing transparent and reproducible artefacts seems an important step to me, alongside having open discussions about data, bias, architectures.
In that spirit, thanks are in order for the creation of GEITje 7B Ultra and all related datasets:
- Michiel Buisman and UWV for providing the means to create the datasets
- Flemish Supercomputer Center (VSC) for the compute
- The Hugging Face Fellows and rest of the team for their discussions and insights
- The Dutch NLP community, notably @Rijgersberg for building the base GEITje model and the fruitful discussions we've had
More to come, step by step!
BramVanroy/geitje-7b-ultra-65c1ee010ad80fd1f6a8f208
GEITje 7B Ultra: A Conversational Model for Dutch (2412.04092)
While the paper discusses the model a little bit, I especially wanted to write about the datasets, which to this day seem an important asset for Dutch LLM training (SFT and preference tuning). We have a long way to go for Dutch, but publishing transparent and reproducible artefacts seems an important step to me, alongside having open discussions about data, bias, architectures.
In that spirit, thanks are in order for the creation of GEITje 7B Ultra and all related datasets:
- Michiel Buisman and UWV for providing the means to create the datasets
- Flemish Supercomputer Center (VSC) for the compute
- The Hugging Face Fellows and rest of the team for their discussions and insights
- The Dutch NLP community, notably @Rijgersberg for building the base GEITje model and the fruitful discussions we've had
More to come, step by step!
BramVanroy/geitje-7b-ultra-65c1ee010ad80fd1f6a8f208
lim142857
authored
a
paper
20 days ago
LanguageBind
authored
4
papers
22 days ago
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle
Paper
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2407.19548
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Published
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24
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
Paper
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2409.01199
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Published
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13
WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
Paper
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2411.17459
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Published
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10
Open-Sora Plan: Open-Source Large Video Generation Model
Paper
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2412.00131
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Published
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32
Restore ZeroGPU Resources
#135 opened 24 days ago
by
JUGGHM