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marc

qftop

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liked a model 18 days ago

answerdotai/ModernBERT-base

liked a dataset about 1 month ago

OpenPipe/best-hn-comment-pairs-v2

liked a model about 2 months ago

nvidia/Hymba-1.5B-Instruct

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qftop's activity

liked a model 18 days ago

answerdotai/ModernBERT-base

Fill-Mask • Updated 12 days ago • 101k • 610

liked a dataset about 1 month ago

OpenPipe/best-hn-comment-pairs-v2

Viewer • Updated Oct 17, 2024 • 31.5k • 33 • 1

liked a model about 2 months ago

nvidia/Hymba-1.5B-Instruct

Text Generation • Updated 4 days ago • 8.63k • 216

liked a dataset about 2 months ago

qq8933/OpenLongCoT-Pretrain

Viewer • Updated Oct 28, 2024 • 103k • 90 • 87

reacted to pagezyhf's post with 👍 about 2 months ago

Post

1359

Hello Hugging Face Community,

I'd like to share here a bit more about our Deep Learning Containers (DLCs) we built with Google Cloud, to transform the way you build AI with open models on this platform!

With pre-configured, optimized environments for PyTorch Training (GPU) and Inference (CPU/GPU), Text Generation Inference (GPU), and Text Embeddings Inference (CPU/GPU), the Hugging Face DLCs offer:

⚡ Optimized performance on Google Cloud's infrastructure, with TGI, TEI, and PyTorch acceleration.
🛠️ Hassle-free environment setup, no more dependency issues.
🔄 Seamless updates to the latest stable versions.
💼 Streamlined workflow, reducing dev and maintenance overheads.
🔒 Robust security features of Google Cloud.
☁️ Fine-tuned for optimal performance, integrated with GKE and Vertex AI.
📦 Community examples for easy experimentation and implementation.
🔜 TPU support for PyTorch Training/Inference and Text Generation Inference is coming soon!

Find the documentation at https://huggingface.co/docs/google-cloud/en/index
If you need support, open a conversation on the forum: https://discuss.huggingface.co/c/google-cloud/69

upvoted a paper 2 months ago

NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Paper • 2410.20650 • Published Oct 28, 2024 • 16

reacted to qq8933's post with 👍 2 months ago

Post

6352

LLaMA-O1: Open Large Reasoning Model Frameworks For Training, Inference and Evaluation With PyTorch and HuggingFace
Large Reasoning Models powered by Monte Carlo Tree Search (MCTS), Self-Play Reinforcement Learning, PPO, AlphaGo Zero's dua policy paradigm and Large Language Models!
https://github.com/SimpleBerry/LLaMA-O1/

What will happen when you compound MCTS ❤ LLM ❤ Self-Play ❤RLHF?
Just a little bite of strawberry!🍓

Past related works:
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning (2410.02884)
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B (2406.07394)