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upvoted a paper 3 days ago

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published 16 days ago • 30

upvoted an article 10 days ago

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Article

Accelerate Large Model Training using PyTorch Fully Sharded Data Parallel

By and 1 other •

May 2, 2022

• 9

upvoted a paper 11 days ago

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 16 days ago • 132

upvoted 3 papers about 1 month ago

Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4 • 241

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20, 2024 • 135

Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 286

upvoted a collection 5 months ago

Gemma 3 QAT

Collection

Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory • 15 items • Updated Jul 10 • 209