Hugging Face's logo
DeathGodlike's picture
11

DeathGodlike

DeathGodlike
Harshraj8721's profile picture 21world's profile picture DualityAI-RebekahBogdanoff's profile picture
ยท

AI & ML interests

None yet

Recent Activity

reacted to KaiChen1998's post with ๐Ÿ”ฅ 5 days ago
๐Ÿ“ข Our EMOVA paper has been accepted by CVPR 2025, and we are glad to release all resources, including code (training & inference), datasets (training & evaluation), and checkpoints (EMOVA-3B/7B/72B)! ๐Ÿค— EMOVA is a novel end-to-end omni-modal LLM that can see, hear and speak. Given omni-modal (i.e., textual, visual and speech) inputs, EMOVA can generate both textual and speech responses with vivid emotional controls by utilizing the speech decoder and a style controller. โœจ EMOVA Highlights โœ… State-of-the-art omni-modality: EMOVA achieves SoTA comparable results on both vision-language and speech benchmarks simultaneously. โœ… Device adaptation: our codebase supports training/inference on both NVIDIA GPUs (e.g., A800 & H20) and Ascend NPUs (e.g., 910B3)! โœ… Modular design: we integrate multiple implementations of vision encoder, vision projector, and language model, even including the most recent DeepSeekMoE-tiny! ๐Ÿ”ฅ You are all welcome to try and star! - Project page: https://emova-ollm.github.io/ - Github: https://github.com/emova-ollm/EMOVA - Demo: https://huggingface.co/spaces/Emova-ollm/EMOVA-demo
reacted to clem's post with โค๏ธ 5 days ago
We just crossed 1,500,000 public models on Hugging Face (and 500k spaces, 330k datasets, 50k papers). One new repository is created every 15 seconds. Congratulations all!
reacted to tomaarsen's post with ๐Ÿš€ 9 days ago
An assembly of 18 European companies, labs, and universities have banded together to launch ๐Ÿ‡ช๐Ÿ‡บ EuroBERT! It's a state-of-the-art multilingual encoder for 15 European languages, designed to be finetuned for retrieval, classification, etc. ๐Ÿ‡ช๐Ÿ‡บ 15 Languages: English, French, German, Spanish, Chinese, Italian, Russian, Polish, Portuguese, Japanese, Vietnamese, Dutch, Arabic, Turkish, Hindi 3๏ธโƒฃ 3 model sizes: 210M, 610M, and 2.1B parameters - very very useful sizes in my opinion โžก๏ธ Sequence length of 8192 tokens! Nice to see these higher sequence lengths for encoders becoming more common. โš™๏ธ Architecture based on Llama, but with bi-directional (non-causal) attention to turn it into an encoder. Flash Attention 2 is supported. ๐Ÿ”ฅ A new Pareto frontier (stronger *and* smaller) for multilingual encoder models ๐Ÿ“Š Evaluated against mDeBERTa, mGTE, XLM-RoBERTa for Retrieval, Classification, and Regression (after finetuning for each task separately): EuroBERT punches way above its weight. ๐Ÿ“ Detailed paper with all details, incl. data: FineWeb for English and CulturaX for multilingual data, The Stack v2 and Proof-Pile-2 for code. Check out the release blogpost here: https://huggingface.co/blog/EuroBERT/release * https://huggingface.co/EuroBERT/EuroBERT-210m * https://huggingface.co/EuroBERT/EuroBERT-610m * https://huggingface.co/EuroBERT/EuroBERT-2.1B The next step is for researchers to build upon the 3 EuroBERT base models and publish strong retrieval, zero-shot classification, etc. models for all to use. I'm very much looking forward to it!
View all activity

Organizations

None yet

DeathGodlike's activity

liked a model 10 days ago
liked a model 17 days ago
liked a model 23 days ago
liked 5 models about 1 month ago
liked 2 models 6 months ago
liked a model 8 months ago