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NK

nkaushik

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reacted to danielhanchen's post with 🔥 5 days ago

We collaborated with NVIDIA to teach you how we made LLM training ~25% faster! 🚀 Learn how 3 optimizations help your home GPU train models faster: 1. Packed-sequence metadata caching 2. Double-buffered checkpoint reloads 3. Faster MoE routing Guide: https://unsloth.ai/blog/nvidia-collab GitHub: https://github.com/unslothai/unsloth

updated a collection about 1 month ago

liked a model about 1 month ago

UsefulSensors/moonshine-tiny

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upvoted a collection 2 months ago

Qwen3.5

21 items • Updated Mar 9 • 1.63k

upvoted 2 articles 3 months ago

Article

New in llama.cpp: Model Management

ggml-org

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Dec 11, 2025

• 134

Article

Community Evals: Because we're done trusting black-box leaderboards over the community

+5

burtenshaw, SaylorTwift, kramp, merve, davanstrien, nielsr, julien-c

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Feb 4

• 89

upvoted 3 collections 4 months ago

Z-Image

7 items • Updated Jan 28 • 152

VibeVoice

Frontier Text-to-Speech Models https://microsoft.github.io/VibeVoice/ • 8 items • Updated Mar 2 • 244

Unsloth Dynamic 2.0 Quants

New 2.0 version of our Dynamic GGUF + Quants. Dynamic 2.0 achieves superior accuracy & SOTA quantization performance. • 89 items • Updated 16 days ago • 603

upvoted a changelog 4 months ago

Hugging Face Changelog

HuggingChat for Papers

Jan 7

• 103