HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better Paper • 2607.04884 • Published Jul 6 • 11
Running 4.11k The Ultra-Scale Playbook 🌌 4.11k The ultimate guide to training LLM on large GPU Clusters
view article Article Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler +3 ariG23498, sayakpaul, sergiopaniego, ror, pcuenq • May 29 • 187
Think Inside the JSON: Reinforcement Strategy for Strict LLM Schema Adherence Paper • 2502.14905 • Published Feb 18, 2025 • 10
view post Post 3,677 You can now run Kimi K2.5 locally! 🔥We shrank the 1T model to 240GB (-60%) via Dynamic 1-bit.Get >40 tok/s on 242GB or 622GB VRAM/RAM for near full precision.GGUF: unsloth/Kimi-K2.5-GGUFGuide: https://unsloth.ai/docs/models/kimi-k2.5 See translation 7 replies · 🚀 18 18 😎 4 4 🔥 3 3 👀 2 2 + Reply
OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets Paper • 2508.01630 • Published Aug 3, 2025 • 20