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Furkan Nar
FurkanNar
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reacted to danielhanchen's post with 🔥 21 days ago
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We collaborated with Hugging Face to enable you to train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss). 🤗
Train gpt-oss locally on 12.8GB VRAM with our free notebooks: https://unsloth.ai/docs/new/faster-moe
Train gpt-oss locally on 12.8GB VRAM with our free notebooks: https://unsloth.ai/docs/new/faster-moe
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liked a dataset about 1 month ago
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upvoted 8 papers about 1 month ago
Learning to Discover at Test Time
Paper
• 2601.16175 • Published
• 42
SimpleMem: Efficient Lifelong Memory for LLM Agents
Paper
• 2601.02553 • Published
• 37
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper
• 2510.14528 • Published
• 118
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
Paper
• 2601.07372 • Published
• 43
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders
Paper
• 2601.16208 • Published
• 53
Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper
• 2309.06180 • Published
• 38
VibeVoice Technical Report
Paper
• 2508.19205 • Published
• 143
MemOS: A Memory OS for AI System
Paper
• 2507.03724 • Published
• 159